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» Adaptive Background Mixture Models for Real-Time Tracking
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ICCV
2005
IEEE
14 years 9 months ago
On-Line Density-Based Appearance Modeling for Object Tracking
Object tracking is a challenging problems in real-time computer vision due to variations of lighting condition, pose, scale, and view-point over time. However, it is exceptionally...
Bohyung Han, Larry S. Davis
ICCV
2009
IEEE
1068views Computer Vision» more  ICCV 2009»
15 years 18 days ago
Illumination Aware MCMC Particle Filter for Long-Term Outdoor Multi-Object Simultaneous Tracking and Classification
This paper addresses real-time automatic visual tracking, labeling and classification of a variable number of objects such as pedestrians or/and vehicles, under timevarying illu...
Franc¸ois Bardet, Thierry Chateau, Datta Ramadasa...
ICASSP
2010
IEEE
13 years 7 months ago
Particle filter adaptation for distributed sensors via set membership
A distributed set-membership-constrained particle filter (SMCPF) is developed for decentralized tracking applications using wireless sensor networks. Unlike existing PF alternati...
Shahrokh Farahmand, Stergios I. Roumeliotis, Georg...
NIPS
2004
13 years 9 months ago
Adaptive Discriminative Generative Model and Its Applications
This paper presents an adaptive discriminative generative model that generalizes the conventional Fisher Linear Discriminant algorithm and renders a proper probabilistic interpret...
Ruei-Sung Lin, David A. Ross, Jongwoo Lim, Ming-Hs...
CVPR
2010
IEEE
14 years 4 months ago
Curious Snakes: a minimum-latency solution to the cluttered background problem in active contours
We present a region-based active contour detection algorithm for objects that exhibit relatively homogeneous photometric characteristics (e.g. smooth color or gray levels), embe...
Ganesh Sundaramoorthi, Stefano Soatto, Anthony Yez...