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» Adaptive Background Mixture Models for Real-Time Tracking
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ICCV
2005
IEEE
16 years 3 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»
16 years 6 months 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
15 years 1 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
15 years 2 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
15 years 9 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...