Wireless smart camera network for real-time human 3D pose reconstruction

A multiple-camera system for 3D pose reconstruction is presented. First, body parts of the user are detected. Each camera has a single-instruction multiple-data (SIMD) processor used to perform this heavy-load image processing task. The detected hand and head candidate positions are then transmitted wirelessly from each camera to a central processor using a low-power ZigBee network. Finally, the 3D pose reconstruction is performed at the central processor by combining the data in a probabilistic manner. Key words: 3D object tracking, multi-camera systems, wireless camera networks, embedded processing, distributed processing, approximate Bayesian filtering

• Type: Journal
• Year: 2010
• Where: CVIU
• Authors: Zoran Zivkovic
• Keywords: Central Processor, CVIU 2008, CVIU 2010, Head Candidate Positions, Image Processing Task