JCS-Net: Joint Classification and Super-Resolution Network for Small-scale Pedestrian Detection in Surveillance Images

IEEE Transactions on Information Forensics and Security(2019)

引用 86|浏览34
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摘要
While convolutional neural network (CNN)-based pedestrian detection methods have proven to be successful in various applications, detecting small-scale pedestrians from surveillance images is still challenging. The major reason is that the small-scale pedestrians lack much detailed information compared to the large-scale pedestrians. To solve this problem, we propose to utilize the relationship be...
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关键词
Image resolution,Feature extraction,Detectors,Proposals,Task analysis,Training,Object detection
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