Visual Tracking using Weighted Discriminative Correlation Filter (가중 변별 상관필터를 이용한 영상 추적)

송태언; Kyung Hyun Jang (장경현)

Visual Tracking using Weighted Discriminative Correlation Filter

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2016, 21(11), pp.49-57
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

송태언 ¹, Kyung Hyun Jang ¹

¹한화시스템

Accredited

ABSTRACT

In this paper, we propose the novel tracking method which uses the weighted discriminative correlation filter (DCF). We also propose the PSPR instead of conventional PSR as tracker performance evaluation method. The proposed tracking method uses multiple DCF to estimates the target position. In addition, our proposed method reflects more weights on the correlation response of the tracker which is expected to have more performance using PSPR. While existing multi-DCF-based tracker calculates the final correlation response by directly summing correlation responses from each tracker, the proposed method acquires the final correlation response by weighted combining of correlation responses from the selected trackers robust to given environment. Accordingly, the proposed method can provide high performance tracking in various and complex background compared to multi-DCF based tracker. Through a series of tracking experiments for various video data, the presented method showed better performance than a single feature-based tracker and also than a multi-DCF based tracker.

KEYWORDS

target tracking, PSR, discriminative correlation filter

Citation status

* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65