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» Multimodal People Detection and Tracking in Crowded Scenes
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ICIP
2008
IEEE
15 years 11 months ago
People re-detection using Adaboost with sift and color correlogram
People re-detection aims at performing re-identification of people who leave the scene and reappear after some time. This is an important problem especially in video surveillance ...
Lei Hu, Shuqiang Jiang, Qingming Huang, Wen Gao
FGR
2004
IEEE
230views Biometrics» more  FGR 2004»
15 years 1 months ago
Tracking Humans using Prior and Learned Representations of Shape and Appearance
Tracking a moving person is challenging because a person's appearance in images changes significantly due to articulation, viewpoint changes, and lighting variation across a ...
Jongwoo Lim, David J. Kriegman
ICMI
2003
Springer
93views Biometrics» more  ICMI 2003»
15 years 2 months ago
A multi-modal approach for determining speaker location and focus
This paper presents a multi-modal approach to locate a speaker in a scene and determine to whom he or she is speaking. We present a simple probabilistic framework that combines mu...
Michael Siracusa, Louis-Philippe Morency, Kevin Wi...
MM
2004
ACM
137views Multimedia» more  MM 2004»
15 years 2 months ago
Towards auto-documentary: tracking the evolution of news stories
News videos constitute an important source of information for tracking and documenting important events. In these videos, news stories are often accompanied by short video shots t...
Pinar Duygulu, Jia-Yu Pan, David A. Forsyth
IJSR
2010
153views more  IJSR 2010»
14 years 6 months ago
A Bank of Unscented Kalman Filters for Multimodal Human Perception with Mobile Service Robots
A new generation of mobile service robots could be ready soon to operate in human environments if they can robustly estimate position and identity of surrounding people. Researcher...
Nicola Bellotto, Huosheng Hu