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» Activity based surveillance video content modelling
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ICASSP
2010
IEEE
13 years 7 months ago
Graph based event detection from realistic videos using weak feature correspondence
We study the problem of event detection from realistic videos with repetitive sequential human activities. Despite the large body of work on event detection and recognition, very ...
Lei Ding, Quanfu Fan, Jen-Hao Hsiao, Sharath Panka...
CVPR
2009
IEEE
1848views Computer Vision» more  CVPR 2009»
15 years 1 months ago
Moving Cast Shadow Detection using Physics-based Features
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
Jia-Bin Huang and Chu-Song Chen
AVSS
2008
IEEE
14 years 2 months ago
Recognizing Shapes in Video Sequences Using Multi-class Boosting
We model the spatio-temporal variations of the shape of objects in a video sequence using a unique SVD-like decomposition. The decomposition is used to compute shape features, whi...
Naresh P. Cuntoor, Matt Welborn
ICIP
2005
IEEE
14 years 1 months ago
Classification and representation of semantic content in broadcast tennis videos
This paper investigates the semantic analysis of broadcast tennis footage. We consider the spatio-temporal behaviour of an object in the footage as being the embodiment of a seman...
Niall Rea, Rozenn Dahyot, Anil C. Kokaram
ICIP
2000
IEEE
14 years 9 months ago
A Region Based Descriptor for Spatial Distribution of Motion Activity for Compressed Video
In this paper we present a new descriptor for spatial distribution of motion activity in video sequences. We construct a histogram of areas of distinct regions (or "blobs&quo...
Ajay Divakaran, Kadir A. Peker, Huifang Sun