Stand-Alone Video-Based Animal Tracking System for Noiseless Application

Autor: Ke-Nung Huang, Ming-Shing Young, Sun-Lon Jen, Yu-Jen Chen, Yan-Chay Li
Rok vydání: 2009
Předmět:
Zdroj: Instrumentation Science & Technology. 37:366-378
ISSN: 1525-6030
1073-9149
DOI: 10.1080/10739140902832162
Popis: The acoustic environment is an important variable in studies with animal behavior and psychology. Noise represents an important factor in laboratory settings. Noise of moderate intensity is produced by air conditioning devices and experimental equipment. Traditional automated video tracking systems require one personal computer per monitoring platform, which are noisy and inconvenient for large laboratory applications. This paper presents a stand-alone system for this function (noise-control environment/noiseless application). A novel system combination of FPGA and MCU simultaneously and automatically perform tracking and saving acquired data to an SD card. A fast and efficient tracking algorithm is designed and implemented. Detection via the designed algorithm uses the Y (luminance component), Cb (blue-difference chrominance component) and Cr (red-difference chrominance component) value of a colored marker affixed to the target to define the tracked position and allows multi-object tracking agai...
Databáze: OpenAIRE
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