An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets-Reference-Cited by-同舟云学术

An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets

Published:2004 Issue: Volume: Page:279-290
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Khan Zia,Balch Tucker,Dellaert Frank

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-24673-2_23

Reference23 articles.

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2. Bar-Shalom, Y., Fortmann, T., Scheffe, M.: Joint probabilistic data association for multiple targets in clutter. In: Proc. Conf. on Information Sciences and Systems (1980)

3. Deriche, R., Faugeras, O.: Tracking line segments. Image and Vision Computing 8, 261–270 (1990)

4. Cox, I., Leonard, J.: Modeling a dynamic environment using a Bayesian multiple hypothesis approach. Artificial Intelligence 66, 311–344 (1994)

5. Rasmussen, C., Hager, G.: Probabilistic data association methods for tracking complex visual objects. PAMI 23, 560–576 (2001)

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