UnCanny: Exploiting Reversed Edge Detection as a Basis for Object Tracking in Video

Wesley T. Honeycutt, Eli S. Bridge
2021 Journal of Imaging  
Few object detection methods exist which can resolve small objects (<20 pixels) from complex static backgrounds without significant computational expense. A framework capable of meeting these needs which reverses the steps in classic edge detection methods using the Canny filter for edge detection is presented here. Sample images taken from sequential frames of video footage were processed by subtraction, thresholding, Sobel edge detection, Gaussian blurring, and Zhang–Suen edge thinning to
more » ... tify objects which have moved between the two frames. The results of this method show distinct contours applicable to object tracking algorithms with minimal "false positive" noise. This framework may be used with other edge detection methods to produce robust, low-overhead object tracking methods.
doi:10.3390/jimaging7050077 pmid:34460673 pmcid:PMC8321341 doaj:f6aebcd3572b4262b73a0aba2f1b2845 fatcat:bcledfe4pvaixk6toxvfagwt5i