An Ensemble Approach for Moving Vehicle Detection and Tracking by Using Ni Vision Module

Author:

Singh Pankaj PratapORCID,Ramchiary Preeti,Bora Jahirul Islam,Bhuyan Rakesh,Prasad ShitalaORCID

Publisher

Springer Nature Switzerland

Reference15 articles.

1. Cheng, H., Shaw, B., Palen, J., Lin, B., Chen, B., Wang, Z.: Development and field test of a laser-based nonintrusive detection system for identification of vehicles on the highway. IEEE Trans. Intell. Transp. Syst. 6(2), 147–155 (2005)

2. Cucchiara, R., Piccardi, M., Mello, P.: Image analysis and rule-based reasoning for a traffic monitoring system. IEEE Trans. Intell. Transp. Syst. 1(2), 119–130 (2000)

3. Beymer, D., McLauchlan, P., Coifman, B., Malik, J.: A real-time computer vision system for measuring traffic parameters. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 495–501. San Juan, PR, USA (1977)

4. Lipton, A.J., Fujiyoshi, H., Patil, R.S.: Moving target classification and tracking from real-time video. In: IEEE Workshop on Application of Computer Vision, pp. 8–14. Princeton, NJ, USA (1998)

5. Gupte, S., Masoud, O., Martin, R.F.K., Papanikolopoulos, N.P.: Detection and classification of vehicles. IEEE Trans. Intell. Transp. Syst. 3(1), 37–47 (2002)

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