Research on Computer Vision-Based Object Detection and Classification

Abstract : Computer vision techniques become particularly important in agriculture applications due to their fast response, high accuracy and strong adaptability. Two of the most demanding and widely studied applications relate to object detection and classification. The task is challenging due to variations in product quality differences under certain complicate circumstances influenced by nature and human. Research in these fields has resulted in a wealth of processing and analysis methods. In this paper, we explicitly explore current advances in the field of object detecting and categorizing based on computer vision, and a comparison of these methods is given.
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Communication dans un congrès
Daoliang Li; Yingyi Chen. 6th Computer and Computing Technologies in Agriculture (CCTA), Oct 2012, Zhangjiajie, China. Springer, IFIP Advances in Information and Communication Technology, AICT-392 (Part I), pp.183-188, 2013, Computer and Computing Technologies in Agriculture VI. 〈10.1007/978-3-642-36124-1_23〉
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Juan Wu, Bo Peng, Zhenxiang Huang, Jietao Xie. Research on Computer Vision-Based Object Detection and Classification. Daoliang Li; Yingyi Chen. 6th Computer and Computing Technologies in Agriculture (CCTA), Oct 2012, Zhangjiajie, China. Springer, IFIP Advances in Information and Communication Technology, AICT-392 (Part I), pp.183-188, 2013, Computer and Computing Technologies in Agriculture VI. 〈10.1007/978-3-642-36124-1_23〉. 〈hal-01348098〉

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