Fast Visual Object Tracking with Rotated Bounding Boxes

8 Jul 2019Bao Xin ChenJohn K. Tsotsos

In this paper, we demonstrate a novel algorithm that uses ellipse fitting to estimate the bounding box rotation angle and size with the segmentation(mask) on the target for online and real-time visual object tracking. Our method, SiamMask_E, improves the bounding box fitting procedure of the state-of-the-art object tracking algorithm SiamMask and still retains a fast-tracking frame rate (80 fps) on a system equipped with GPU (GeForce GTX 1080 Ti or higher)... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Visual Object Tracking VOT2016 SiamMask_E Expected Average Overlap (EAO) 0.466 # 1
Visual Object Tracking VOT2017/18 SiamMask_E Expected Average Overlap (EAO) 0.446 # 1
Visual Object Tracking VOT2019 SiamMask_E Expected Average Overlap (EAO) 0.309 # 2

Methods used in the Paper


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