Simple online and realtime tracking with spherical panoramic camera

Keng-Chi Liu, Yi-Ting Shen, Liang-Gee Chen

Abstract: In this paper, a simple yet effective method for online and real-time multi-object tracking (MOT) in 360-degree equi-rectangular panoramic videos is proposed. Based on the current state-of-the-art tracking-by-detection paradigm, several improvements have been made to overcome the challenges of full field-of-view (FOV) of Spherical Panoramic Camera (SPC). In addition, two datasets are presented for evaluation. It is shown that the proposed method outperforms the baseline by 28.6% and 27.8% in terms of average Multiple Object Tracking Accuracy (MOTA) on each dataset.