Event driven reconfigurable architecture for real-time multiple human motion tracking and profiling
Processing the image streams captured by a camera to track human movements, and to make estimation of human actions from 2D images, is a challenge in designing computational structures for real-time operations. Motion analysis involves high parallel-data and computation-intensive data processing mak...
Saved in:
| Main Author: | |
|---|---|
| Format: | text |
| Published: |
Animo Repository
2010
|
| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/8119 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | De La Salle University |
| Summary: | Processing the image streams captured by a camera to track human movements, and to make estimation of human actions from 2D images, is a challenge in designing computational structures for real-time operations. Motion analysis involves high parallel-data and computation-intensive data processing making reconfigurable computing platform architectures highly suitable. In this study, we propose to develop an FPGA-based motion analysis system based on a coarse-grain reconfigurable architecture that integrates an image-event driven mechanism for the reconfiguration of the reconfigurable core. The proposed system will be implemented on Xilinx ML410 Embedded Development Board. An image sensor interfaced to a Virtex 4 FPGA development boards will provide the real-time video stream. This work may find application is the area of surveillance, intelligent ambient control and in the emerging domain of Social Signal Processing (SSP). |
|---|