Attribute-restricted latent topic model for person re-identification

Authors:
Xiao Liu;Mingli Song;Qi Zhao;Dacheng Tao;Chun Chen;Jiajun Bu
Affiliations:
Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science, Zhejiang University, Hangzhou 310027, China;Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science, Zhejiang University, Hangzhou 310027, China;Department of Electronic and Computer Engineering, National University of Singapore, Singapore;Centre for Quantum Computation and Information Systems, University of Technology, Sydney, Australia;Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science, Zhejiang University, Hangzhou 310027, China;Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science, Zhejiang University, Hangzhou 310027, China
Venue:
Pattern Recognition
Year:
2012

Citing 15
Cited 0

Probabilistic latent semantic indexing

Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Latent dirichlet allocation

The Journal of Machine Learning Research
Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision
The author-topic model for authors and documents

UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Using Particles to Track Varying Numbers of Interacting People

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Person Reidentification Using Spatiotemporal Appearance

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Modeling inter-camera space-time and appearance relationships for tracking across non-overlapping views

Computer Vision and Image Understanding
Speeded-Up Robust Features (SURF)

Computer Vision and Image Understanding
Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features

ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Labeled LDA: a supervised topic model for credit attribution in multi-labeled corpora

EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Context-aided human recognition – clustering

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Multiple-shot person re-identification by chromatic and epitomic analyses

Pattern Recognition Letters
Person re-identification by probabilistic relative distance comparison

CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Detection of loitering individuals in public transportation areas

IEEE Transactions on Intelligent Transportation Systems
Video Behaviour Mining Using a Dynamic Topic Model

International Journal of Computer Vision

Quantified Score

Hi-index	0.01

Visualization

Abstract

Searching for specific persons from surveillance videos captured by different cameras, known as person re-identification, is a key yet under-addressed challenge. Difficulties arise from the large variations of human appearance in different poses, and from the different camera views that may be involved, making low-level descriptor representation unreliable. In this paper, we propose a novel Attribute-Restricted Latent Topic Model (ARLTM) to encode targets into semantic topics. Compared to conventional topic models such as LDA and pLSI, ARLTM performs best by imposing semantic restrictions onto the generation of human specific attributes. We use MCMC EM for model learning. Experimental results show that our method achieves state-of-the-art performance.