Paper
18 November 2019 Binocular camera trap for wildlife detection
Zhongke Xu, Liang Sun, Xinwei Wang, Han Dong, Pingshun Lei, Yan Zhou
Author Affiliations +
Abstract
Camera traps are commonly used in wildlife monitoring. Traditionally camera traps only capture 2D images of wildlife moving in front of them. However, size information of wildlife is lost, which is vital to determine their ages and genders. To solve this problem, this paper develops a binocular camera trap based on stereo imaging for wildlife detection. The camera trap consists of two cameras, motion sensors, a photosensitive sensor and infrared illumination with the central wavelength of 940nm. Motion sensors output triggers to cameras when animals move past, and then pictures are captured from two different perspectives simultaneously. Meanwhile the photosensitive sensor perceives ambient illumination to control infrared illumination. In this way, the camera trap provides both 2D images of wildlife and their size information obtained by binocular vision. In addition, different from normal binocular cameras placed horizontally, these two cameras are set vertically for the convenience of installation and the expansion of dynamic measure range. As verification, we develop a prototype binocular camera trap to measure a human’s height that is 178cm, and the estimation error approaches 2cm at the distance of 5m.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhongke Xu, Liang Sun, Xinwei Wang, Han Dong, Pingshun Lei, and Yan Zhou "Binocular camera trap for wildlife detection", Proc. SPIE 11187, Optoelectronic Imaging and Multimedia Technology VI, 111871C (18 November 2019); https://doi.org/10.1117/12.2537428
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KEYWORDS
Cameras

Infrared sensors

Sensors

Error analysis

Calibration

Infrared radiation

Infrared cameras

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