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» A Linear Programming Approach for Multiple Object Tracking
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ICMCS
2006
IEEE
234views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Decentralized Multiple Camera Multiple Object Tracking
In this paper, we present a novel decentralized Bayesian framework using multiple collaborative cameras for robust and efficient multiple object tracking with significant and pe...
Wei Qu, Dan Schonfeld, Magdi A. Mohamed
ICPR
2006
IEEE
14 years 8 months ago
Multiple Objects Tracking with Multiple Hypotheses Graph Representation
We present a novel multi-object tracking algorithm based on multiple hypotheses about the trajectories of the objects. Our work is inspired by Reid's multiple hypothesis trac...
Alex Yong Sang Chia, Liyuan Li, Weimin Huang
CVPR
2005
IEEE
14 years 1 months ago
Linear Combination Representation for Outlier Detection in Motion Tracking
In this paper we show that Ullman and Basri’s linear combination (LC) representation, which was originally proposed for alignment-based object recognition, can be used for outli...
Guodong Guo, Charles R. Dyer, Zhengyou Zhang
COR
2002
90views more  COR 2002»
13 years 7 months ago
Extremist vs. centrist decision behavior: quasi-convex utility functions for interactive multi-objective linear programming prob
This paper presents the fundamental theory and algorithms for identifying the most preferred alternative for a decision maker (DM) having a non-centrist (or extremist) preferentia...
Behnam Malakooti, Jumah E. Al-alwani
CVPR
2007
IEEE
14 years 9 months ago
A Bayesian algorithm for tracking multiple moving objects in outdoor surveillance video
Reliable tracking of multiple moving objects in video is an interesting challenge, made difficult in real-world video by various sources of noise and uncertainty. We propose a Bay...
Manjunath Narayana, Donna Haverkamp