Object tracking is an important task in several computer vision applications. Optical flow is one of the most widely used techniques in the image processing and video analysis fields. This paper implements an object tracking algorithm based on optical flow method to be computed by Raspberry Pi microcomputer. A Lucas–Kanade method has been used to calculate the velocity vector of the moving object between two consecutive frames. Two experiments are performed to evaluate the robustness of the proposed algorithm by the new computing device. The results were encouraging to use the proposed framework on wide variety of real time application.
Askar, W., Elmowafy, O., Youssif, A., & Elnashar, G. (2015). Object Tracking Using Vision on Raspberry Pi. International Conference on Aerospace Sciences and Aviation Technology, 16(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 16 – May 26 - 28, 2015), 1-9. doi: 10.21608/asat.2015.22940
MLA
W. Askar; O. Elmowafy; A. Youssif; G. Elnashar. "Object Tracking Using Vision on Raspberry Pi". International Conference on Aerospace Sciences and Aviation Technology, 16, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 16 – May 26 - 28, 2015, 2015, 1-9. doi: 10.21608/asat.2015.22940
HARVARD
Askar, W., Elmowafy, O., Youssif, A., Elnashar, G. (2015). 'Object Tracking Using Vision on Raspberry Pi', International Conference on Aerospace Sciences and Aviation Technology, 16(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 16 – May 26 - 28, 2015), pp. 1-9. doi: 10.21608/asat.2015.22940
VANCOUVER
Askar, W., Elmowafy, O., Youssif, A., Elnashar, G. Object Tracking Using Vision on Raspberry Pi. International Conference on Aerospace Sciences and Aviation Technology, 2015; 16(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 16 – May 26 - 28, 2015): 1-9. doi: 10.21608/asat.2015.22940
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