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» Object Detection in Video via Particle Filters
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ICIP
2006
IEEE
14 years 10 months ago
Robust Kernel-Based Tracking using Optimal Control
Although more efficient in computation compared to other tracking approaches such as particle filtering, the kernel-based tracking suffers from the "singularity" problem...
Wei Qu, Dan Schonfeld
CIVR
2009
Springer
169views Image Analysis» more  CIVR 2009»
14 years 3 months ago
Exploiting contextual data for event retrieval in surveillance video
Contextual information is vital for the robust extraction of semantic information in automated surveillance systems. We have developed a scene independent framework for the detect...
Philip Kelly, Ciarán O. Conaire, Noel E. O'...
CIVR
2004
Springer
184views Image Analysis» more  CIVR 2004»
14 years 2 months ago
Semantic Event Detection in Sports Through Motion Understanding
In this paper we investigate the retrieval of semantic events that occur in broadcast sports footage. We do so by considering the spatio-temporal behaviour of an object in the foot...
Niall Rea, Rozenn Dahyot, Anil C. Kokaram
ICIP
2005
IEEE
14 years 10 months ago
Spatio-temporal attention model for video content analysis
This paper presents a new model of human attention that allows salient areas to be extracted from video frames. As automatic understanding of video semantic content is still far fr...
Mickael Guironnet, Nathalie Guyader, Denis Pelleri...
ICIP
2007
IEEE
14 years 10 months ago
Hierarchical Feature Fusion for Visual Tracking
A new method for object tracking in video sequences is presented. This method exploits the benefits of particle filters to tackle the multimodal distributions emerging from clutte...
Alexandros Makris, Dimitrios I. Kosmopoulos, Stavr...