Sciweavers


Publication
335views
12 years 2 months ago
Person Re-Identification: What Features are Important?
State-of-the-art person re-identi cation methods seek robust person matching through combining various feature types. Often, these features are implicitly assigned with a single ve...
Chunxiao Liu, Shaogang Gong, Chen Change Loy, Xing...
CVPR
2012
IEEE
12 years 5 months ago
Foreground Detection Using Spatiotemporal Projection Kernels
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

Publication
363views
12 years 11 months ago
Detecting and Discriminating Behavioural Anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempor...
Chen Change Loy, Tao Xiang, Shaogang Gong

Publication
226views
12 years 11 months ago
Modelling Multi-object Activity by Gaussian Processes
We present a new approach for activity modelling and anomaly detection based on non-parametric Gaussian Process (GP) models. Specifically, GP regression models are formulated to l...
Chen Change Loy, Tao Xiang, Shaogang Gong

Dataset
1353views
12 years 11 months ago
QMUL Junction Dataset
QMUL junction dataset is for research on activity analysis and crowded scenes. Video length: 1 hour (90000 frames) Frame size: 360x288 Frame rate: 25 Hz Compression codec: ff...
ACCV
2010
Springer
13 years 7 months ago
Spatiotemporal Closure
Spatiotemporal segmentation is an essential task for video analysis. The strong interconnection between finding an object's spatial support and finding its motion characterist...
Alex Levinshtein, Cristian Sminchisescu, Sven J. D...

Publication
815views
13 years 8 months ago
Activity Understanding and Unusual Event Detection in Surveillance Videos
Computer scientists have made ceaseless efforts to replicate cognitive video understanding abilities of human brains onto autonomous vision systems. As video surveillance cameras ...
Chen Change Loy
COMPSYSTECH
2010
13 years 11 months ago
Anthropocentric video analysis for film and games postproduction
: The interest of the scientific community for anthropocentric (human-centered) video analysis stems from the fact that the extracted information (e.g. human presence, identity, bo...
Ioannis Pitas, Nikolaos Nikolaidis

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yang97_netStudent, PhD
aerospace university
yang97_net
CHI
2009
ACM
14 years 1 months ago
Spatio-temporal interest points for video analysis
In this paper, we discuss the potential for effective representations of video data to aid analysis of large datasets of video clips and describe a prototype developed to explore ...
Ramsin Khoshabeh, James D. Hollan