Paper Info
Title
Hybrid Morphology Processing Unit Architecture for Moving Object Segmentation Systems
Abstract
Video segmentation is a key operation in MPEG-4 content-based coding systems. For real-time applications, hardware implementation of video segmentation is inevitable. In this paper, we propose a hybrid morphology processing unit architecture for real-time moving object segmentation systems, where a prior effective moving object segmentation algorithm is implemented. The algorithm is first mapped to pixel-based operations and morphological operations, which makes the hardware implementation feasible. Then the high computation load, which is more than 4.2 GOPS, can be overcome with a dedicated morphology engine and a programmable morphology PE array. In addition, the hardware cost, memory size, and memory bandwidth can be reduced with the partial-result-reuse concept. This chip is designed with TSMC 0.35 驴m 1P4M technology, and can achieve the processing speed of 30 QCIF frames or 7,680 morphological operations per second at 26 MHz. Simulation shows that the proposed hardware architecture is efficient in both hardware complexity and memory organization. It can be integrated into any content-based video processing and encoding systems.
Year
DOI
Venue
2006
10.1007/s11265-006-4185-1
VLSI Signal Processing
Keywords
Field
DocType
video segmentation,moving object segmentation,hardware architecture,morphological operations
Video processing,Memory bandwidth,Computer science,Segmentation,Parallel computing,Real-time computing,Video tracking,Memory segmentation,Memory organisation,Encoding (memory),Hardware architecture
Journal
Volume
Issue
ISSN
42
3
0922-5773
Citations 
PageRank 
References 
5
0.50
14
Authors
5
Name
Order
Citations
PageRank
Shao-Yi Chien11603154.48
Bing-Yu Hsieh248354.76
Yu-Wen Huang31116114.02
Shyh-Yih Ma440228.42
Liang-Gee Chen53637383.22