Fast Pig Detection with a Top-View Camera under Various Illumination Conditions

Symmetry

Younchang Choi¹  Hanhaesol Lee¹  Jaewon Sa¹  Daihee Park¹  Yongwha Chung¹  Jinho Cho² 

[1] Department of Computer Convergence Software, Korea University, Sejong 30019, Korea;Division of Food and Animal Science, Chungbuk National University, Cheongju 28644, Korea;

关键词: agriculture IT;    computer vision;    pig detection;    depth information;    infrared information;   

DOI  :  10.3390/sym11020266

来源: DOAJ

【 摘 要 】

The fast detection of pigs is a crucial aspect for a surveillance environment intended for the ultimate purpose of the 24 h tracking of individual pigs. Particularly, in a realistic pig farm environment, one should consider various illumination conditions such as sunlight, but such consideration has not been reported yet. We propose a fast method to detect pigs under various illumination conditions by exploiting the complementary information from depth and infrared images. By applying spatiotemporal interpolation, we first remove the noises caused by sunlight. Then, we carefully analyze the characteristics of both the depth and infrared information and detect pigs using only simple image processing techniques. Rather than exploiting highly time-consuming techniques, such as frequency-, optimization-, or deep learning-based detections, our image processing-based method can guarantee a fast execution time for the final goal, i.e., intelligent pig monitoring applications. In the experimental results, pigs could be detected effectively through the proposed method for both accuracy (i.e., 0.79) and execution time (i.e., 8.71 ms), even with various illumination conditions.

【 授权许可】

Unknown