Multi Target Video Tracking Using Residual Vector Quantization

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.

• Type: Journal
• Year: 2010
• Where: IPCV
• Authors: Salman Aslam, Christopher F. Barnes, Aaron F. Bobick
• Keywords: Crowded Scenario, Image Processing, IPCV 2010, Multi-target Tracking, Residual Vector Quantization