SOC For Object Tracking Rajeshwari, B.
Material type:
TextLanguage: English Publication details: 2018-2019 PES University Bengaluru
| Item type | Current library | Status | Barcode | |
|---|---|---|---|---|
| Compact Disks | Central Library | Available | CD7205 |
Object tracking has been one of the most researched topics in computer vision. A drastic improvement has been seen in the field of object tracking over past few decades. However, it still remains a complex problem to be solved. In this project a SoC is designed by integrating designed and customized IPs from library. Application program is written for the SoC to detect and track moving objects. Optical flow approach is used to detect the objects. Lucas- Kanade dense optical flow is used to obtain the information of movement of the object. Median filtering removes the unwanted noise, thresholding and morphological operations are used to track only the object of interest. Blob analysis sets the object type restrictions. The hardware implementation has been achieved on ZedBoard platform which is an All- Programmable SoC by Xilinx
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