UnCanny: Exploiting Reversed Edge Detection as a Basis for Object Tracking in Video
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 detectio...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Journal of Imaging |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-433X/7/5/77 |
| _version_ | 1797536553787981824 |
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| author | Wesley T. Honeycutt Eli S. Bridge |
| author_facet | Wesley T. Honeycutt Eli S. Bridge |
| author_sort | Wesley T. Honeycutt |
| collection | DOAJ |
| description | 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 identify 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. |
| first_indexed | 2024-03-10T12:02:23Z |
| format | Article |
| id | doaj.art-f6aebcd3572b4262b73a0aba2f1b2845 |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-03-10T12:02:23Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-f6aebcd3572b4262b73a0aba2f1b28452023-11-21T16:54:25ZengMDPI AGJournal of Imaging2313-433X2021-04-01757710.3390/jimaging7050077UnCanny: Exploiting Reversed Edge Detection as a Basis for Object Tracking in VideoWesley T. Honeycutt0Eli S. Bridge1Oklahoma Biological Survey, University of Oklahoma, Norman, OK 73019, USAOklahoma Biological Survey, University of Oklahoma, Norman, OK 73019, USAFew 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 identify 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.https://www.mdpi.com/2313-433X/7/5/77edge detectionobject detectionvideo processing |
| spellingShingle | Wesley T. Honeycutt Eli S. Bridge UnCanny: Exploiting Reversed Edge Detection as a Basis for Object Tracking in Video Journal of Imaging edge detection object detection video processing |
| title | UnCanny: Exploiting Reversed Edge Detection as a Basis for Object Tracking in Video |
| title_full | UnCanny: Exploiting Reversed Edge Detection as a Basis for Object Tracking in Video |
| title_fullStr | UnCanny: Exploiting Reversed Edge Detection as a Basis for Object Tracking in Video |
| title_full_unstemmed | UnCanny: Exploiting Reversed Edge Detection as a Basis for Object Tracking in Video |
| title_short | UnCanny: Exploiting Reversed Edge Detection as a Basis for Object Tracking in Video |
| title_sort | uncanny exploiting reversed edge detection as a basis for object tracking in video |
| topic | edge detection object detection video processing |
| url | https://www.mdpi.com/2313-433X/7/5/77 |
| work_keys_str_mv | AT wesleythoneycutt uncannyexploitingreversededgedetectionasabasisforobjecttrackinginvideo AT elisbridge uncannyexploitingreversededgedetectionasabasisforobjecttrackinginvideo |