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Object Tracking Using Particle Filters in Moving Camera
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 Title & Authors
Object Tracking Using Particle Filters in Moving Camera
Ko, Byoung-Chul; Nam, Jae-Yeal; Kwak, Joon-Young;
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 Abstract
This paper proposes a new real-time object tracking algorithm using particle filters with color and texture features in moving CCD camera images. If the user selects an initial object, this region is declared as a target particle and an initial state is modeled. Then, N particles are generated based on random distribution and CS-LBP (Centre Symmetric Local Binary Patterns) for texture model and weighted color distribution is modeled from each particle. For observation likelihoods estimation, Bhattacharyya distance between particles and their feature models are calculated and this observation likelihoods are used for weights of individual particles. After weights estimation, a new particle which has the maximum weight is selected and new particles are re-sampled using the maximum particle. For performance comparison, we tested a few combinations of features and particle filters. The proposed algorithm showed best object tracking performance when we used color and texture model simultaneously for likelihood estimation.
 Keywords
객체 추적;색상 분모 모델;로컬 CS-LBP;관측 우도;바타차리야 거리;
 Language
Korean
 Cited by
1.
지능형 의료영상검색시스템 HIPS 구현,김종민;류갑상;

한국사물인터넷학회논문지, 2016. vol.2. 4, pp.15-20 crossref(new window)
2.
옵티컬 플로우 분석을 통한 불법 유턴 차량 검지,송창호;이재성;

한국통신학회논문지, 2014. vol.39C. 10, pp.948-956 crossref(new window)
3.
능동적 윤곽 모델과 색상 기반 파티클 필터를 결합한 얼굴 추적,김진율;정재기;

한국통신학회논문지, 2015. vol.40. 10, pp.2090-2101 crossref(new window)
4.
에지 관측 모델과 파티클 필터를 이용한 이동 객체 추적,김효연;김기상;최형일;

인터넷정보학회논문지, 2016. vol.17. 3, pp.25-32 crossref(new window)
5.
배경 모델 학습을 통한 객체 분할/검출 및 파티클 필터를 이용한 분할된 객체의 움직임 추적 방법,임수창;김도연;

한국정보통신학회논문지, 2016. vol.20. 8, pp.1537-1545 crossref(new window)
1.
Object Segmentation/Detection through learned Background Model and Segmented Object Tracking Method using Particle Filter, Journal of the Korea Institute of Information and Communication Engineering, 2016, 20, 8, 1537  crossref(new windwow)
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