Robust L-1 minimization object tracking via optical flow and object-centric method = 옵티컬 플로우와 물체 중심 기법에 의한 강인한 L-1 최소화 물체 추적 알고리즘

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Object tracking has been studied in the field of computer vision and many approaches are proposed to solve challenging problems in the object tracking. Among many approaches, we are motivated by an existing tracking algorithm employing L-1 minimization method in particle filter framework. The L-1 minimization object tracking is one of state-of-the-art tracking algorithms, obtaining the robustness for illumination changes, occlusions and pose changes. However, the tracking algorithm often loses fast or complexly moving target object. In order to solve the problem, we suggest applying optical flow to the state model of particle filter framework. By adding calculated velocity information of the target object to the state model via optical flow, the performance of tracking for moving objects, especially fast or abruptly moving objects, is improved within our method. Moreover, we propose utilizing object-centric method in object tracking to improve the performance of the tracking algorithm and reduce the losses of target object during tracking. The object-centric method is inspired by object-centric spatial pooling that pools features from foreground and background separately. Object-centric method employs the difference of the Histogram of oriented gradients (HOG) features from the current frame and the first frame for both foreground and background features. We discuss the ineffectiveness of HOG features for object-centric method and suggest SIFT features instead of HOG features for the further studies.
Advisors
Kim, Dae-Shikresearcher김대식
Description
한국과학기술원 : 전기및전자공학과,
Publisher
한국과학기술원
Issue Date
2014
Identifier
569271/325007  / 020123541
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 전기및전자공학과, 2014.2, [ iv, 47 p. ]

Keywords

Object tracking; 스파스 표현; L-1 최소화; 물체 중심 기법; 옵티컬 플로우; 물체 추적; Optical flow; Object-centric; L-1 minimization; Sparse representation

URI
http://hdl.handle.net/10203/196799
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=569271&flag=dissertation
Appears in Collection
EE-Theses_Master(석사논문)
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