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Content Provider | IEEE Xplore Digital Library |
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Author | Chih-Sheng Lin Shih-Meng Teng Yen-Ting Chen Pao-Ann Hsiung |
Copyright Year | 2013 |
Description | Author affiliation: Nat. Chung Cheng Univ., Chiayi, Taiwan (Chih-Sheng Lin; Shih-Meng Teng; Yen-Ting Chen; Pao-Ann Hsiung) |
Abstract | In recent years, the need for object detection has significantly increased for multi-camera systems. However, the detection methods in such systems incur high computational cost, which leads to a major challenge in real-time applications. In this work, we propose a Scissor Algorithm for object detection using a multi-core CPU and a graphic processing unit (GPU). Leveraging the features of both the CPU and the GPU, the object detection method was enhanced in two stages: (a) pixel-to-pixel color filtering and (b) grouping. The proposed algorithm can effectively shrink the search area for detection and further improve the process of detection, thus effectively increasing the frame rate for real-time applications. Experimental results demonstrate the real-time performance of the proposed algorithm. |
Starting Page | 446 |
Ending Page | 450 |
File Size | 290926 |
Page Count | 5 |
File Format | |
e-ISBN | 9780769549927 |
DOI | 10.1109/CISIS.2013.81 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-07-03 |
Publisher Place | Taiwan |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Real-Time Object Detection Heterogeneous Parallel Processing Image color analysis Instruction sets Graphics processing units Object detection Parallel processing Cameras Graphic Processing Unit Real-time systems Computer Vision |
Content Type | Text |
Resource Type | Article |
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