Simple online and realtime tracking with spherical panoramic camera
- Resource Type
- Conference
- Authors
- Liu, Keng-Chi; Shen, Yi-Ting; Chen, Liang-Gee
- Source
- 2018 IEEE International Conference on Consumer Electronics (ICCE) Consumer Electronics (ICCE), 2018 IEEE International Conference on. :1-6 Jan, 2018
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Detectors
Cameras
Tracking
Videos
Training
Object detection
Neural networks
spherical panoramic camera
equirectangular panorama
multi-object tracking
online and realtime tracking
convolution neural network
- Language
- ISSN
- 2158-4001
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.