| Publisher | National Taiwan University | ||
|---|---|---|---|
| Format | 215.0KB PDF | Date added | 01 Jul 2006 |
| Topics | Digital Cameras, Video Management Software, RISC-Based Servers | ||
| Downloads | 174 | ||
Conventional smart camera cannot achieve real-time processing for high-performance video content analysis algorithms with only RISCs. In literatures, DSPs or coprocessors are employed to implement video content analysis functions. In this paper, a video content analysis core with specially-designed hardware accelerators is proposed to realize the content analysis functions in smart camera with low cost. The resulting smart camera in this paper can then provide high performance content analysis functions, including video segmentation, video object description, and video object tracking, for real-time surveillance applications. Moreover, design techniques such as frame-level pipelining and subword level parallelism are also applied on the design of these special hardware accelerators in order to achieve high throughput rate, high hardware utilization, and saving the bus bandwidth.
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