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研究生： 陳婕苓
Chen, Chieh-Ling
論文名稱： 360度影片物件追蹤方法評比
360° Video Object Tracking: A Benchmark
指導教授： 陳煥宗
Chen, Hwann-Tzong
口試委員: 賴尚宏
Lai, Shang-Hong
劉庭祿
Liu, Tyng-Luh
學位類別： 碩士
Master
系所名稱：
論文出版年： 2017
畢業學年度： 106
語文別： 英文
論文頁數： 40
中文關鍵詞： 物件追蹤 、360度 、目標追蹤 、影片 、視圖翹曲 、效能評估
外文關鍵詞： Object tracking, 360 degree, Target tracking, Videos, View-warping, Performance evaluation
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    • 物件追蹤是電腦視覺中最重要和最快速發展的領域。另一方面，360°影片和其相關技術在這些年來越來越受歡迎。因此在本論文中，我們提出了一種基於視圖翹曲的方法來增強和擴展現有的在線物件追蹤算法，使其得以用於追蹤360°影片。此外，我們還提出了一個新的標準數據集，用於評估360°影片物件追蹤算法和分析追蹤結果。

    Object tracking is one of the most important and rapidly developing fields in computer vision. On the other hand, 360° videos and related technologies are getting popular these years. In this thesis, we present a view-warping based method to enhance and expand existing online object tracking algorithms to be used on 360° videos. In addition, we propose a new benchmark dataset for evaluating 360° video object tracking algorithms and for analyzing the tracking results.

    1 Introduction 11 1.1 Object Tracking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 1.2 360 Video Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . 11 1.3 Contributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 2 Related Work 15 2.1 Object Tracking Methods . . . . . . . . . . . . . . . . . . . . . . . . 15 2.2 Baseline: ECO tracker . . . . . . . . . . . . . . . . . . . . . . . . . . 16 2.3 Baseline: fDSST tracker . . . . . . . . . . . . . . . . . . . . . . . . . 17 3 Our Approach 20 3.1 View-warping Method . . . . . . . . . . . . . . . . . . . . . . . . . . 20 3.2 Implementation based on baselines . . . . . . . . . . . . . . . . . . . 23 4 Sports-360 Tracking Dataset 25 5 Experiments 30 5.1 Implementation Details . . . . . . . . . . . . . . . . . . . . . . . . . . 30 5.2 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 6 Conclusions and Future Work 37

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