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FEATURE POINT IDENTIFICATION IN SPARSE OPTICAL FLOW BASED TRACKING IN A COMPUTER VISION SYSTEM
FEATURE POINT IDENTIFICATION IN SPARSE OPTICAL FLOW BASED TRACKING IN A COMPUTER VISION SYSTEM
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机译:计算机视觉系统中基于稀疏光学流的跟踪中的特征点识别
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摘要
A method for sparse optical flow based tracking in a computer vision system is provided that includes detecting feature points in a frame captured by a monocular camera in the computer vision system to generate a plurality of detected feature points, generating a binary image indicating locations of the detected feature points with a bit value of one, wherein all other locations in the binary image have a bit value of zero, generating another binary image indicating neighborhoods of currently tracked points, wherein locations of the neighborhoods in the binary image have a bit value of zero and all other locations in the binary image have a bit value of one, and performing a binary AND of the two binary images to generate another binary image, wherein locations in the binary image having a bit value of one indicate new feature points detected in the frame.
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