OmniTrack: Real-Time Detection and Tracking of Objects, Text and Logos in Video
2019 IEEE International Symposium on Multimedia (ISM)(2019)
摘要
The automatic detection and tracking of general objects (like persons, animals or cars), text and logos in a video is crucial for many video understanding tasks, and usually real-time processing as required. We propose OmniTrack, an efficient and robust algorithm which is able to automatically detect and track objects, text as well as brand logos in real-time. It combines a powerful deep learning based object detector (YoloV3) with high-quality optical flow methods. Based on the reference YoloV3 C++ implementation, we did some important performance optimizations which will be described.
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关键词
object detection, tracking, YoloV3, optical flow
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