Vehicle Tracking in Video Based on Pixel Level Motion Vector
In this paper, the problem of missing vehicles halfway in previous approach of vehicle tracking based on motion vector is studied, and a vehicle tracking algorithm based on pixel level motion vector is proposed. In the proposed algorithm, blocks of vehicles are shifted by pixel level motion vector which is acquired directly by block matching method, and overlapping between blocks contained in a single vehicle is allowed. By the experiments, the proposed algorithm was proved to be very successful. It can track vehicles farther than block level motion vector based approach.
Keywordsvehicle tracking vehicle detection block matching motion vector
Unable to display preview. Download preview PDF.
- 3.Ha, D.B., Zhu, G.X., Zhao, G.Z.: Vehicle Tracking Method Based on Corner Feature and Mean-shift. Computer Engineering 36, 197–200 (2010)Google Scholar
- 4.Zhang, Z., Huang, K., Tan, T.: 3D Model Based Vehicle Tracking Using Gradient Based Fitness Evaluation under Particle Filter Framework. In: 2010 20th International Conference on Pattern Recognition (ICPR), pp. 1771–1774 (2010)Google Scholar
- 5.Zhu, Z., Lu, X., Wei, Y.: Real-time vehicle tracking system based on motion vector. Journal of Transportation Engineering and Information 5, 110–115 (2007)Google Scholar
- 6.Kamijo, S., Matsushita, Y., Ikeuchi, K.: Occlusion Robust Tracking utilizing Spatio-Temporal Markov Random Field Model. In: IEEE ICPR, pp. 142–147 (2000)Google Scholar