AVSS 2006 - PDF Preprint Papers

AVSS 2006 IEEE Conference on Advanced Video and Signal Based Surveillance

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AVSS
2006
IEEE

582views Signal Processing» more AVSS 2006»

Pedestrian Detection and Tracking for Counting Applications in Crowded Situations

13 years 11 months ago

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This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stati...

Oliver Sidla, Yuriy Lypetskyy, Norbert Brändl...

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Id	Views	Title	Status

1	582	Pedestrian Detection and Tracking for Counting Applications in Crowded Situations	claim
2	287	3D Human Motion Analysis in Monocular Video Techniques and Challenges	claim
3	256	Classification-Based Likelihood Functions for Bayesian Tracking	claim
4	222	People Tracking Using a Time-of-Flight Depth Sensor	claim
5	217	Fusion of Omnidirectional and PTZ Cameras for Accurate Cooperative Tracking	claim
6	208	Registration of Multimodal Stereo Images Using Disparity Voting from Correspondence Windows	claim
7	206	Recognizing Facial Expressions in Videos Using a Facial Action Analysis-Synthesis Scheme	claim
8	203	Dynamic Control of Adaptive Mixture-of-Gaussians Background Model	claim
9	196	Human Face Reconstruction Using Bayesian Deformable Models	claim
10	195	Multi-view Intelligent Vehicle Surveillance System	claim
11	188	Dissecting the Image of the Absolute Conic	claim
12	183	An LMI Approach for Reliable PTZ Camera Self-Calibration	claim
13	176	High-Quality Real Time Motion Detection Using PTZ Cameras	claim
14	173	Robust License Plate Detection Using Covariance Descriptor in a Neural Network Framework	claim
15	166	A Multi-Class Tracker Using a Scalable Condensation Filter	claim
16	160	An Active Head Tracking System for Distance Education and Videoconferencing Applications	claim
17	160	Combined 2D/3D Face Recognition Using Log-Gabor Templates	claim
18	158	Optimal Power Scheduling for Data Fusion in Inhomogeneous Wireless Sensor Networks	claim
19	155	Activity Topology Estimation for Large Networks of Cameras	claim
20	155	An Online Discriminative Approach to Background Subtraction	claim
21	155	Feature Modelling of PCA Difference Vectors for 2D and 3D Face Recognition	claim
22	153	Nonparametric Background Modeling Using the CONDENSATION Algorithm	claim
23	149	Open Source Vision Library (OpenVL) Based Local Positioning System	claim
24	148	On Person Authentication by Fusing Visual and Thermal Face Biometrics	claim
25	144	Real-Time Video Segmentation with VGA Resolution and Memory Bandwidth Reduction	claim
26	138	The Role of Motion Models in Super-Resolving Surveillance Video for Face Recognition	claim
27	137	Holonic Multi-agent Systems to Integrate Independent Multi-sensor Platforms in Complex Surveillance	claim
28	135	On the Performance and Use of Speaker Recognition Systems for Surveillance	claim
29	135	Learning Feature Extraction and Classification for Tracking Multiple Objects: A Unified Framework	claim
30	132	Improved Vehicle Classification in Long Traffic Video by Cooperating Tracker and Classifier Modules	claim
31	130	Learning Foveal Sensing Strategies in Unconstrained Surveillance Environments	claim
32	130	Multimedia Surveillance and Monitoring	claim
33	129	"Hybrid Cone-Cylinder" Codebook Model for Foreground Detection with Shadow and Highlight Suppression	claim
34	127	Analysis of LIDAR Data Fused with Co-Registered Bands	claim
35	124	Skin Colour-Based Face Detection in Colour Images	claim
36	124	Real-Time Detection of Camera Tampering	claim
37	118	Large System Decision Fusion Performance in Inhomogeneous Sensor Networks	claim
38	118	A Smith-Waterman Local Alignment Approach for Spatial Activity Recognition	claim
39	115	Scalable Surveillance Software Architecture	claim
40	106	Panoramic Appearance Map (PAM) for Multi-camera Based Person Re-identification	claim
41	98	A Random Field Model for Improved Feature Extraction and Tracking	claim

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