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» An online learned CRF model for multi-target tracking
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ICIP
2007
IEEE
14 years 9 months ago
Fast Detection of Independent Motion in Crowds Guided by Supervised Learning
Different from appearance-based methods, clustering feature points only by their motion coherence is an emerging category of approach to detecting and tracking individuals among c...
Yuan Li, Haizhou Ai
ICCV
2009
IEEE
13 years 5 months ago
SURF Tracking
Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motionbased trackin...
Wei He, Takayoshi Yamashita, Hongtao Lu, Shihong L...
FGR
2008
IEEE
260views Biometrics» more  FGR 2008»
14 years 1 months ago
On the sustained tracking of human motion
In this paper, we propose an algorithm for sustained tracking of humans, where we combine frame-to-frame articulated motion estimation with a per-frame body detection algorithm. T...
Yaser Sheikh, Ankur Datta, Takeo Kanade
ICPR
2008
IEEE
14 years 1 months ago
Frame-skipping tracking for single object with global motion detection
Frame-skipping videos usually appear in wireless video sensor networks which have wirelessly interconnected devices that are able to ubiquitously retrieve video content from the e...
Ming Anlong, Ma Huadong
ADC
2006
Springer
156views Database» more  ADC 2006»
14 years 1 months ago
A new approach to intelligent text filtering based on novelty detection
This paper presents an original approach to modelling user’s information need in text filtering environment. This approach relies on a specific novelty detection model which a...
Randa Kassab, Jean-Charles Lamirel