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ICMCS
1999
IEEE
234views Multimedia» more  ICMCS 1999»
15 years 3 months ago
Spatiotemporal Segmentation and Tracking of Objects for Visualization of Videoconference Image Sequences
Abstract--In this paper, a procedure is described for the segmentation, content-based coding, and visualization of videoconference image sequences. First, image sequence analysis i...
Ioannis Kompatsiaris, Michael G. Strintzis
JMM2
2006
212views more  JMM2 2006»
14 years 11 months ago
K-means Tracker: A General Algorithm for Tracking People
Abstract-- In this paper, we present a clustering-based tracking algorithm for tracking people (e.g. hand, head, eyeball, body, and lips). It is always a challenging task to track ...
Chunsheng Hua, Haiyuan Wu, Qian Chen, Toshikazu Wa...
CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
15 years 3 months ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang
CVPR
2004
IEEE
16 years 1 months ago
An Algorithm for Multiple Object Trajectory Tracking
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
112
Voted
ICIP
2009
IEEE
14 years 9 months ago
Object tracking using multiple fragments
This paper presents a low-cost tracking algorithm based on multiple multiple fragments, increasing robustness with respect to partial occlusions. Given the initial template repres...
Claudio R. Jung, Amir Said