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点击上方 “机器学习研究会” 可以订阅哦 摘要 转自：爱可可-爱生活 I implement Ross's work "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks" to realize
real-time object detection, which focuses on image-level problem. Here, I extend it to video-level problem by treating
videos like a series of frames and also take the relation between each frame into account. Use a tracker to track the
video frame by frame and finally visualize the final result Backgound Object detection is an age-old question. Many application need the techniques of object detection, such as IoT,
self-driving car. So here we're gonna introduce the state-of-the-art: faster rcnn, achieves high performance and can be
used in real-time. Region-based Convolutional Neural Network Region-based Convolutiona
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