Likelihood learning in modified Dirichlet Process Mixture Model for video analysis-Reference-Cited by-同舟云学术

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Likelihood learning in modified Dirichlet Process Mixture Model for video analysis

Published:2019-12 Issue: Volume:128 Page:211-219
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Kumaran Santhosh Kelathodi^ORCID,Chakravarty Adyasha,Dogra Debi Prosad^ORCID,Roy Partha Pratim

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference39 articles.

1. Trajectory-based surveillance analysis: a survey;Ahmed;IEEE Trans. Circuits Syst. Video Technol.,2018

2. Border-peeling clustering;Averbuch-Elor;IEEE Trans. Pattern Anal. Mach. Intell.,2019

3. Variational inference for dirichlet process mixtures;Blei;Bayesian Anal.,2006

4. Density-based clustering based on hierarchical density estimates;Campello,2013

5. Unsupervised trajectory modeling based on discrete descriptors for classifying moving objects in video sequences;Campo,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Topic-based Video Analysis;ACM Computing Surveys;2021-07

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