Robust multi-scale ship tracking via extended MIL tracker

Fei, Teng; Liu, Qing; Zhu, Lin; Gao, Xueying

doi:10.2495/iceee140211

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…And if the target object suffers distractors, the trajectory will have deviations. In the experimental part, we notice (10)(11)(12)(13) are good way to model the scale variation between consecutive frames, producing reasonably accurate and stable scale estimation.…”

Section: Strategy To Track Scale Variationmentioning

confidence: 99%

“…The extensive results showed that MIL tracker could greatly ease the sample ambiguity problem with fewer parameter tweaks but turned to easily select indiscriminative features. Toward this issue, in [12], an EMIL (enhanced multiple instance learning) tracker was proposed. The point was to use a dynamic way to replace the traditional logistic function.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Real-Time Inland CCTV Ship Tracking

Xiao

2018

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The predator algorithm is a representative pioneering work that achieves state-of-the-art performance on several popular visual tracking benchmarks and with great success when commercially applied to real-time face tracking in long-term unconstrained videos. However, there are two major drawbacks of predator algorithm when applied to inland CCTV (closed-circuit television) ship tracking. First, the LK short-term tracker within predator algorithm easily tends to drift if the target ship suffers partial or even full occlusion, mainly because the corner-points-like features employed by LK tracker are very sensitive to occlusion appearance change. Second, the cascaded detector within the predator algorithm searches for candidate objects in a predefined scale set, usually including 3-5 elements, which hampers the tracker to adapt to the potential diverse scale variations of the target ship. In this paper, we design a random projection based short-term tracker which can dramatically ease the tracking drift when the ship is under occlusion. Furthermore, a forward-backward feedback mechanism is proposed to estimate the scale variation between two consecutive frames. We prove that these two strategies gain significant improvements over the predator algorithm and also show that the proposed method outperforms several other state-of-the-art trackers.

show abstract

Section: Strategy To Track Scale Variationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%