DocumentCode
2465207
Title
Image Object Detection and Tracking Implementation for Outdoor Scenes on an Embedded Soc Platform
Author
Tsai, Wen-kai ; Sheu, Ming-hwa ; Su, Ching-Lung ; Lin, Jun-Jie ; Tseng, Shau-Yin
Author_Institution
Grad. Sch. of Eng. Sci. & Technol., Nat. Yunlin Univ. of Sci. & Technol., Yunlin, Taiwan
fYear
2009
fDate
12-14 Sept. 2009
Firstpage
386
Lastpage
389
Abstract
This paper presents an Intelligent Surveillance System which can be used in real scenes. Our aim is to establish a reliable background from a complex one via a accurate segmentation method followed by object tracking. The system is able to continue tracking the objects regardless if the objects are overlapping or separate. The system uses the TI TMS320DM6446 Davinci development kit, inputs image sequence using a CCD camera, executes the algorithms on the Davinci platform, and then display the execution results on a 352times240(NTSC CIF) or 720times480(NTSC D1) monitor. Based on the simulation results, the algorithm proposed by us achieves better results in varies ways, namely: functional practicality, detection effect, efficiency, the computational complexity, and so on.
Keywords
CCD image sensors; computational complexity; embedded systems; image segmentation; image sequences; object detection; surveillance; system-on-chip; tracking; CCD camera; Intelligent Surveillance System; TI TMS320DM6446 Davinci development kit; computational complexity; embedded SoC platform; image object detection; image sequence; image tracking; object tracking; outdoor scenes; segmentation method; Charge coupled devices; Charge-coupled image sensors; Displays; Image segmentation; Image sequences; Intelligent systems; Layout; Monitoring; Object detection; Surveillance; object detetion; object tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on
Conference_Location
Kyoto
Print_ISBN
978-1-4244-4717-6
Electronic_ISBN
978-0-7695-3762-7
Type
conf
DOI
10.1109/IIH-MSP.2009.198
Filename
5337507
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