In recent years, automatic human action recognition has been widely researched within the computer vision and image processing communities. To identify human behavior which achieve the surveillance has great help by video automation in aspect of home caring, personal property and homeland security. To achieve action recognition, there are many factors to be considered, primarily the accuracy and real-time. If we can parallelize the action recognition algorithm, it will be a greatly improvement to the real-time processing capability of the algorithm. To achieve real-time demand, we study how to implement action recognition algorithm parallelization in the CELL B.E. platform. The action recognition algorithm with our design is faster than the original algorithm; it has 231 times speed up. We found that in the action recognition algorithm, there are many repeated operation between blocks, it can be parallelize by using single-instruction multiple-data architecture. In the action recognition algorithms, there are four major algorithms, DMASKS, HMHHb, MGD, SVM. The SIMD instructions in CELL B.E. platform can compute 128 bits data at once. While doing DMASKS, SIMD parallelism can reach 16 times, HMHHb parallelism up to 128 times, MGD parallelism up to 8 times, and SVM can reach 4 times. Based on CELL B.E. acceleration mechanism, we achieve high-performance computing models with multi-threading and multiple streaming. Our study showed that the action recognition algorithm is very suitable for multi-core system with parallel processing SIMD architecture. The parallelization for action recognition algorithm will have more immediate response in identifying human action. With the advantages of real-time, it can be expected to include more complex algorithms for the accuracy of algorithm in the future, to achieve both immediacy and accuracy.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0823111-143005 |
| Date | 23 August 2011 |
| Creators | Pan, Po-Hsun |
| Contributors | Wann-Yun Shieh, Chung-Ping Chung, Jih-Ching Chiu, Chia-Hung Yeh |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0823111-143005 |
| Rights | unrestricted, Copyright information available at source archive |
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