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Faster RCNN Detection Based OpenCV CSRT Tracker Using Drone Data

机译:基于RCNN检测的OpenCV CSRT跟踪器使用无人机数据

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Object tracking is one of the well-known topic in Computer Vision sphere with challenging and problematic tasks that frames come with problems like overlapping, camera motion blur, changing object appearance, environmental variations and so on. Using OpenCV based CSRT (Channel and Spatial Reliability Tracking) tracker itself, without integration object detection part may face problems which mentioned above. To overcome that challenges we integrated deep learning based object detection with CSRT tracker and got better tracking results.
机译:对象跟踪是计算机视觉领域中的众所周知的主题之一,具有挑战性和有问题的任务,其帧具有重叠,相机运动模糊,更改对象外观,环境变化等问题。基于OpenCV的CSRT(通道和空间可靠性跟踪)跟踪器本身,没有集成对象检测部分可能面临上面提到的问题。克服了与CSRT跟踪器的基于深度学习的对象检测的挑战,并获得了更好的跟踪结果。

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