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
Link To Document :
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