CVPR 2012 - PDF Preprint Papers

CVPR 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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CVPR
2012
IEEE

604views Computer Vision» more CVPR 2012»

Foreground Detection Using Spatiotemporal Projection Kernels

12 years 5 months ago

Download www.faculty.idc.ac.il

Foreground detection is at the core of many video processing tasks. In this paper, we propose a novel video foreground detection method that exploits the statistics of 3D space-tim...

Y. Moshe, H. Hel-Or, and Y. Hel-Or

posted by Yacov Hel-Or

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Id	Views	Title	Status

1	604	Foreground Detection Using Spatiotemporal Projection Kernels
2	484	A Unified Framework for Event Summarization and Rare Event Detection
3	481	Contextual Boost for Pedestrian Detection
4	467	Background segmentation with feedback: The Pixel-Based Adaptive Segmenter	claim
5	425	Visual tracking via adaptive structural local sparse appearance model	claim
6	415	Locally Orderless Tracking	claim
7	370	Point cloud matching based on 3D self-similarity	claim
8	367	SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition	claim
9	358	Stream-based Joint Exploration-Exploitation Active Learning
10	355	Robust object tracking via sparsity-based collaborative model	claim
11	349	Face detection, pose estimation, and landmark localization in the wild	claim
12	344	Finite Element based sequential Bayesian Non-Rigid Structure from Motion	claim
13	341	Robust visual tracking using autoregressive hidden Markov Model	claim
14	336	Mobile product search with Bag of Hash Bits and boundary reranking	claim
15	333	Dense Lagrangian motion estimation with occlusions	claim
16	332	The inverted multi-index	claim
17	326	Actionable saliency detection: Independent motion detection without independent motion estimation	claim
18	325	Branch-and-price global optimization for multi-view multi-object tracking
19	319	Saliency filters: Contrast based filtering for salient region detection	claim
20	309	Decentralized particle filter for joint individual-group tracking	claim
21	308	View invariant human action recognition using histograms of 3D joints	claim
22	306	City scale geo-spatial trajectory estimation of a moving camera	claim
23	301	Semantic segmentation using regions and parts	claim
24	301	Two-person interaction detection using body-pose features and multiple instance learning	claim
25	299	A learning-based framework for depth ordering	claim
26	297	Fast search in Hamming space with multi-index hashing	claim
27	295	Unsupervised feature learning framework for no-reference image quality assessment	claim
28	292	Beyond spatial pyramids: Receptive field learning for pooled image features	claim
29	291	Are we ready for autonomous driving? The KITTI vision benchmark suite	claim
30	290	Pedestrian detection at 100 frames per second
31	290	3D Constrained Local Model for rigid and non-rigid facial tracking	claim
32	288	Supervised hashing with kernels	claim
33	288	Compressive depth map acquisition using a single photon-counting detector: Parametric signal processing meets sparsity	claim
34	287	Hierarchical face parsing via deep learning	claim
35	285	RGB-(D) scene labeling: Features and algorithms	claim
36	284	Real-time 6D stereo Visual Odometry with non-overlapping fields of view	claim
37	283	Robust plane-based structure from motion	claim
38	278	Weakly supervised structured output learning for semantic segmentation
39	275	Tracking many vehicles in wide area aerial surveillance	claim
40	274	Jigsaw Puzzles with Pieces of Unknown Orientation
41	274	Geometry constrained sparse coding for single image super-resolution	claim
42	273	Learning latent temporal structure for complex event detection	claim
43	273	Icon scanning: Towards next generation QR codes	claim
44	271	Graph cuts optimization for multi-limb human segmentation in depth maps	claim
45	271	Large-scale knowledge transfer for object localization in ImageNet	claim
46	270	Image categorization using Fisher kernels of non-iid image models	claim
47	270	Bridging the past, present and future: Modeling scene activities from event relationships and global rules	claim
48	270	FREAK: Fast Retina Keypoint	claim
49	270	Background modeling using adaptive pixelwise kernel variances in a hybrid feature space	claim
50	270	Globally optimal hand-eye calibration	claim
51	269	Adaptive object tracking by learning background context	claim
52	267	Leveraging category-level labels for instance-level image retrieval	claim
53	267	Action bank: A high-level representation of activity in video	claim
54	265	Layered segmentation and optical flow estimation over time	claim
55	265	Example-based 3D object reconstruction from line drawings	claim
56	262	Accidental pinhole and pinspeck cameras: Revealing the scene outside the picture	claim
57	261	Leveraging stereopsis for saliency analysis	claim
58	260	Changedetection.net: A new change detection benchmark dataset	claim
59	259	Curvature-based regularization for surface approximation	claim
60	258	3D landmark model discovery from a registered set of organic shapes	claim
61	258	Real-time scene text localization and recognition	claim
62	258	Structured Local Predictors for image labelling	claim
63	257	Image denoising: Can plain neural networks compete with BM3D?	claim
64	257	Online continuous stereo extrinsic parameter estimation	claim
65	257	Modulation transfer function of patch-based stereo systems	claim
66	256	Batch mode Adaptive Multiple Instance Learning for computer vision tasks	claim
67	256	Learning rotation-aware features: From invariant priors to equivariant descriptors	claim
68	255	Joint 2D-3D temporally consistent semantic segmentation of street scenes	claim
69	255	Dense reconstruction on-the-fly	claim
70	255	Linear discriminative image processing operator analysis	claim
71	254	Multi-view latent variable discriminative models for action recognition	claim
72	254	Automatic discovery of groups of objects for scene understanding	claim
73	253	Robust visual domain adaptation with low-rank reconstruction	claim
74	253	A hierarchical image clustering cosegmentation framework	claim
75	253	Gaze estimation from multimodal Kinect data	claim
76	252	Coupling detection and data association for multiple object tracking	claim
77	252	Color constancy using faces	claim
78	252	Figure-ground segmentation by transferring window masks	claim
79	252	Detecting texts of arbitrary orientations in natural images	claim
80	251	Real time robust L1 tracker using accelerated proximal gradient approach	claim
81	251	Higher order motion models and spectral clustering	claim
82	251	Bag of textons for image segmentation via soft clustering and convex shift	claim
83	251	Identigram/watermark removal using cross-channel correlation	claim
84	250	Online robust image alignment via iterative convex optimization	claim
85	249	Sasaki metrics for analysis of longitudinal data on manifolds	claim
86	249	2D/3D rotation-invariant detection using equivariant filters and kernel weighted mapping	claim
87	249	Shape, albedo, and illumination from a single image of an unknown object	claim
88	248	Generalized Multiview Analysis: A discriminative latent space	claim
89	248	Context aware topic model for scene recognition	claim
90	248	From label fusion to correspondence fusion: A new approach to unbiased groupwise registration	claim
91	248	Multiclass pixel labeling with non-local matching constraints	claim
92	248	Keystroke dynamics for user authentication	claim
93	248	A codebook-free and annotation-free approach for fine-grained image categorization	claim
94	248	A tiered move-making algorithm for general pairwise MRFs	claim
95	248	Scene warping: Layer-based stereoscopic image resizing	claim
96	247	Part-based multiple-person tracking with partial occlusion handling	claim
97	247	Discrete-continuous optimization for multi-target tracking	claim
98	246	Video anomaly detection based on local statistical aggregates	claim
99	244	From Pictorial Structures to deformable structures	claim
100	243	Nonlinear camera response functions and image deblurring	claim
101	242	Intrinsic shape context descriptors for deformable shapes	claim
102	241	Filling large holes in LiDAR data by inpainting depth gradients	claim
103	241	Multi-video browsing and summarization	claim
104	241	SUN attribute database: Discovering, annotating, and recognizing scene attributes	claim
105	241	Exploring human visual system: Study to aid the development of automatic facial expression recognition framework	claim
106	241	Multi-output Laplacian dynamic ordinal regression for facial expression recognition and intensity estimation	claim
107	241	Discovering localized attributes for fine-grained recognition	claim
108	240	Augmenting deformable part models with irregular-shaped object patches	claim
109	240	A flow model for joint action recognition and identity maintenance	claim
110	240	WhittleSearch: Image search with relative attribute feedback	claim
111	240	General trajectory prior for Non-Rigid reconstruction	claim
112	240	Depth from optical turbulence	claim
113	240	Multi-attribute spaces: Calibration for attribute fusion and similarity search	claim
114	239	Spatio-temporal motion tracking with unsynchronized cameras	claim
115	238	Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents	claim
116	238	Meta-class features for large-scale object categorization on a budget	claim
117	237	Spatial bias in multi-atlas based segmentation	claim
118	237	Geodesic flow kernel for unsupervised domain adaptation	claim
119	237	Center-Shift: An approach towards automatic robust mesh segmentation (ARMS)	claim
120	236	Top-down and bottom-up cues for scene text recognition	claim
121	236	A new mirror-based extrinsic camera calibration using an orthogonality constraint	claim
122	236	Submodular dictionary learning for sparse coding	claim
123	236	Teaching 3D geometry to deformable part models	claim
124	236	Discriminative virtual views for cross-view action recognition	claim
125	235	Bilevel sparse coding for coupled feature spaces	claim
126	235	Real-time facial feature detection using conditional regression forests	claim
127	235	Mode-seeking on graphs via random walks	claim
128	235	Social behavior recognition in continuous video	claim
129	235	Discovering and exploiting 3D symmetries in structure from motion	claim
130	233	Scale resilient, rotation invariant articulated object matching	claim
131	233	Enhanced continuous sign language recognition using PCA and neural network features	claim
132	232	Learning hierarchical similarity metrics	claim
133	231	Mobile object detection through client-server based vote transfer	claim
134	231	Parameter-free/Pareto-driven procedural 3D reconstruction of buildings from ground-level sequences	claim
135	231	Urban tribes: Analyzing group photos from a social perspective	claim
136	231	KNN matting	claim
137	231	Detection by detections: Non-parametric detector adaptation for a video	claim
138	231	The scale of edges	claim
139	230	Boosting algorithms for simultaneous feature extraction and selection	claim
140	230	Edge-preserving photometric stereo via depth fusion	claim
141	230	Active image clustering: Seeking constraints from humans to complement algorithms	claim
142	230	Social roles in hierarchical models for human activity recognition	claim
143	230	Semantic structure from motion with points, regions, and objects	claim
144	230	Capturing relightable images using computer monitors	claim
145	230	Boosting bottom-up and top-down visual features for saliency estimation	claim
146	229	Discrete texture traces: Topological representation of geometric context	claim
147	229	Unsupervised metric fusion by cross diffusion	claim
148	228	Learning shared body plans	claim
149	228	Learning 3D object templates by hierarchical quantization of geometry and appearance spaces	claim
150	228	A grammar for hierarchical object descriptions in logic programs	claim
151	228	Estimating the aspect layout of object categories	claim
152	228	Exemplar-based human action pose correction and tagging	claim
153	228	Synthesizing oil painting surface geometry from a single photograph	claim
154	227	Learning to segment dense cell nuclei with shape prior	claim
155	227	3D visual phrases for landmark recognition	claim
156	227	Geometric understanding of point clouds using Laplace-Beltrami operator	claim
157	227	Cross-based local multipoint filtering	claim
158	227	Analysis of template aging in iris biometrics	claim
159	226	A data driven method for feature transformation	claim
160	226	Video from nearly still: An application to low frame-rate gait recognition	claim
161	226	Rolling shutter bundle adjustment	claim
162	226	The Shape Boltzmann Machine: A strong model of object shape	claim
163	226	Evaluation of super-voxel methods for early video processing	claim
164	225	Light field denoising, light field superresolution and stereo camera based refocussing using a GMM light field patch prior	claim
165	225	Locality-constrained and spatially regularized coding for scene categorization	claim
166	225	Camera spectral sensitivity estimation from a single image under unknown illumination by using fluorescence	claim
167	224	Exploiting local and global patch rarities for saliency detection	claim
168	224	See all by looking at a few: Sparse modeling for finding representative objects	claim
169	224	Three things everyone should know to improve object retrieval	claim
170	224	On SIFTs and their scales	claim
171	224	Social interactions: A first-person perspective	claim
172	223	Probabilistic tensor voting for robust perceptual grouping	claim
173	223	Max-margin early event detectors	claim
174	223	Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set	claim
175	223	The role of image understanding in contour detection	claim
176	223	Video segmentation by tracing discontinuities in a trajectory embedding	claim
177	223	Steerable part models	claim
178	223	Improving multi-target tracking via social grouping	claim
179	223	Multi view registration for novelty/background separation	claim
180	223	A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images	claim
181	222	Classifying covert photographs	claim
182	222	Adaptive figure-ground classification	claim
183	222	Using scene features to improve wide-area video surveillance	claim
184	222	Top-down visual saliency via joint CRF and dictionary learning	claim
185	221	Unsupervised co-segmentation through region matching	claim
186	221	Detecting activities of daily living in first-person camera views	claim
187	221	Detecting regions of interest in dynamic scenes with camera motions	claim
188	221	Scalable k-NN graph construction for visual descriptors	claim
189	221	Random walks based multi-image segmentation: Quasiconvexity results and GPU-based solutions	claim
190	221	Image matching using local symmetry features	claim
191	220	A fast nearest neighbor search algorithm by nonlinear embedding	claim
192	220	Micro Phase Shifting	claim
193	219	On partial least squares in head pose estimation: How to simultaneously deal with misalignment	claim
194	219	Weak attributes for large-scale image retrieval	claim
195	219	Robust Boltzmann Machines for recognition and denoising	claim
196	219	Robust non-rigid registration of 2D and 3D graphs	claim
197	219	A closed-form solution to uncalibrated photometric stereo via diffuse maxima	claim
198	218	Learning object class detectors from weakly annotated video	claim
199	218	RALF: A reinforced active learning formulation for object class recognition	claim
200	217	Seeded watershed cut uncertainty estimators for guided interactive segmentation	claim
201	216	Fan Shape Model for object detection	claim
202	216	Recovering free space of indoor scenes from a single image	claim
203	215	A line-structure-preserving approach to image resizing	claim
204	214	Learning features on robotic surgical tools	claim
205	214	The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle segmentation in ultrasound	claim
206	214	An analysis of color demosaicing in plenoptic cameras	claim
207	214	Large scale metric learning from equivalence constraints	claim
208	213	What is optimized in tight convex relaxations for multi-label problems?	claim
209	213	Complex loss optimization via dual decomposition	claim
210	212	Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynamic scenes	claim
211	212	Model recommendation for action recognition	claim
212	212	Manifold-based fingerprinting for target identification	claim
213	211	Occlusion reasoning for object detection under arbitrary viewpoint	claim
214	211	From pixels to physics: Probabilistic color de-rendering	claim
215	211	Recognizing proxemics in personal photos	claim
216	210	Articulated people detection and pose estimation: Reshaping the future	claim
217	209	Sum-product networks for modeling activities with stochastic structure	claim
218	209	Multi-target tracking by online learning of non-linear motion patterns and robust appearance models	claim
219	209	Road network extraction from airborne LiDAR data using scene context	claim
220	208	Discriminately decreasing discriminability with learned image filters	claim
221	208	Discovering discriminative action parts from mid-level video representations	claim
222	208	Parameterizing interpersonal behaviour with Laban movement analysis - A Bayesian approach	claim
223	207	Optical flow in the presence of spatially-varying motion blur	claim
224	207	On multiple foreground cosegmentation	claim
225	207	Linear solution to scale invariant global figure ground separation	claim
226	207	A game-theoretic approach to deformable shape matching	claim
227	205	Spherical hashing	claim
228	205	Multi-view hair capture using orientation fields	claim
229	205	General and nested Wiberg minimization	claim
230	205	Globally optimal line clustering and vanishing point estimation in Manhattan world	claim
231	205	Single image multimaterial estimation	claim
232	204	Real-time image-based 6-DOF localization in large-scale environments	claim
233	204	Revisiting uncertainty in graph cut solutions	claim
234	204	Example-based cross-modal denoising	claim
235	203	Consistent depth maps recovery from a trinocular video sequence	claim
236	203	A simple prior-free method for non-rigid structure-from-motion factorization	claim
237	203	Fixed-rank representation for unsupervised visual learning	claim
238	202	Learning to localize detected objects	claim
239	202	An online learned CRF model for multi-target tracking	claim
240	202	We are not contortionists: Coupled adaptive learning for head and body orientation estimation in surveillance video	claim
241	201	Nonparametric discovery of activity patterns from video collections	claim
242	201	Articulated pose estimation with parts connectivity using discriminative local oriented contours	claim
243	200	Laser speckle photography for surface tampering detection	claim
244	200	Memory constrained face recognition	claim
245	200	Segmentation using superpixels: A bipartite graph partitioning approach	claim
246	200	Seeing double without confusion: Structure-from-motion in highly ambiguous scenes	claim
247	200	Photometric stereo for outdoor webcams	claim
248	199	Robust camera self-calibration from monocular images of Manhattan worlds	claim
249	198	Unsupervised learning of translation invariant occlusive components	claim
250	197	Discovering important people and objects for egocentric video summarization	claim
251	197	Robust late fusion with rank minimization	claim
252	196	Refractive height fields from single and multiple images	claim
253	195	Multitarget data association with higher-order motion models	claim
254	195	Non-negative low rank and sparse graph for semi-supervised learning	claim
255	195	A theory of multi-layer flat refractive geometry	claim
256	194	2.5D building modeling by discovering global regularities	claim
257	192	Maximum weight cliques with mutex constraints for video object segmentation	claim
258	192	Multi-class cosegmentation	claim
259	190	Pose pooling kernels for sub-category recognition	claim
260	190	Keystone correction for stereoscopic cinematography	claim
261	189	Parsing clothing in fashion photographs	claim
262	189	D-Nets: Beyond patch-based image descriptors	claim
263	186	Computing nearest-neighbor fields via Propagation-Assisted KD-Trees	claim
264	183	Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video	claim
265	181	Recognizing scene viewpoint using panoramic place representation	claim
266	180	Learning sparse covariance patterns for natural scenes	claim
267	177	Sharing features in multi-class boosting via group sparsity	claim

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