@inproceedings{b49ae5806919407c9ff767b85f515b3c,
title = "Multi target video tracking using residual vector quantization",
abstract = "In this paper, we use Residual Vector Quantization (RVQ) for multi-target tracking. To the best of our knowledge, this is the first reported application of RVQ to any form of video processing. We implement a completely automatic method of initializing RVQ encoder and decoder codebooks from targets in a crowded scenario, and then use those codebooks to subsequently detect and track targets.",
keywords = "σ-tree classifier, Compression, Machine learning, Multi-target tracking, Pattern recognition, Residual vector quantization, Source coding",
author = "Salman Aslam and Christopher Barnes and Aaron Bobick",
year = "2010",
language = "English",
isbn = "9781601321541",
series = "Proceedings of the 2010 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2010",
pages = "642--646",
booktitle = "Proceedings of the 2010 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2010",
note = "2010 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2010 ; Conference date: 12-07-2010 Through 15-07-2010",
}