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Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
Ä®¸¸ ÇÊÅ͸¦ ÀÌ¿ëÇÑ ¹°Ã¼ ÃßÀû ½Ã½ºÅÛ |
¿µ¹®Á¦¸ñ(English Title) |
Object Tracking System Using Kalman Filter |
ÀúÀÚ(Author) |
¼¾Æ³²
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À°Á¤¼ö
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Á¤È¸°æ
Yanan Xu
Tae-Hak Ban
Jung-Soo Yuk
Dong-Won Park
Hoe-kyung Jung
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¿ø¹®¼ö·Ïó(Citation) |
VOL 17 NO. 02 PP. 1015 ~ 1017 (2013. 10) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
Object tracking, in general, is a challenging problem. Difficulties in tracking objects can arise due to abrupt object motion, changing appearance patterns of both the object and the scene, non-rigid object structures, object-to-object and object-to-scene occlusions, and camera motion. Tracking is usually performed in the context of higher-level applications that require the location or the shape of the object in every frame. This paper describes an object tracking system based on active vision with two cameras, into algorithm of single camera tracking system an object active visual tracking and object locked system based on Extend Kalman Filter (EKF) is introduced, by analyzing data from which the next running state of the object can be figured out and after the tracking is performed at each of the cameras, the individual tracks are to be fused (combined) to obtain the final system object track.
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Å°¿öµå(Keyword) |
active visual system
extended Kalman filter
multiply-cameras
object tracking
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ÆÄÀÏ÷ºÎ |
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