The Face-Tracking of Sichuan Golden Monkeys via S-TLD
Digital image technology has been widely used in wildlife monitoring, due to its advantages of non-obligatory, non-contact and non-invasive. However, the primary problem needing to be solved is how to detect and track the wild animals in these images and videos. This paper proposes a face-tracking algorithm for Sichuan golden monkeys by combing SVM and TLD, named as S-TLD. This algorithm is proposed based on the basic framework of TLD, and SVM is used as an alternate classifier to detect the face again, when the object appears in the video for the first time or TLD fails to tracking. Once SVM accomplishes the face detection, TLD completes the following tracking task. Experimental results demonstrate that S-TLD can be applied to the face detection and tracking of Sichuan golden monkeys in the videos, the location and facial information of the monkeys are very helpful for the study of their behavior habits.
KeywordsColor quantization The golden monkey Face-tracking TLD S-TLD
The work was jointly supported by the National Natural Science Foundations of China under grant Nos. 61373177, 61502387, 61202198 and 61272195. The Science Research Project of the Education Department of Shanxi Province under grant Nos. 15JK1748 and 15JK1734. The Science Foundations of Northwest University under grant Nos.14NW25, 14NW27, 14NW28. The Open Projects Program of National Laboratory of Pattern Recognition No. 201600031. Natural Science Foundation of Shaanxi Province, No. 2016JQ6029.
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