Robust Inland Waterway Ship Tracking via Hybrid TLD and Kalman Filter

Abstract:

In this paper, we mainly address the problem of tracking a single ship in inland waterway CCTV (Closed-Circuit Television) video sequences. Although state-of-the-art performance has been demonstrated in TLD (Tracking-Learning-Detection) visual tracking, it is still challenging to perform long-term robust ship tracking due to factors such as cluttered background, scale change, partial or full occlusion and so forth. In this work, we focus on tracking a single ship when it suffers occlusion. To accomplish this goal, an effective Kalman filter is adopted to construct a novel online model to adapt to the rapid ship appearance change caused by occlusion. Experimental results on numerous inland waterway CCTV video sequences demonstrate that the proposed algorithm outperforms the original one.

• Periodical: Advanced Materials Research (Volume 1037)
• Pages: 373-377
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1037.373
• Online since: October 2014
• Authors: Teng Fei*, Liu Qing, Lin Zhu, Jing Li
• Keywords: CCTV Surveillance, Inland Waterway, Kalman Filters, Occlusion Disturbance

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