Concurrent Spatial Color Information Processing for Video-Based Vehicle Detection Applications
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-78750-9_5
Reference18 articles.
1. Yang, Z., & Pun-Cheng, L. S. C. (2018). Vehicle detection in intelligent transportation systems and its applications under varying environments: A review. Journal on Image and Vision Computing, 69, 143–154.
2. Boukerche, A., Siddiqui, A. J., & Mammeri, A. (2017). Automated vehicle detection and classification: Model, methods and techniques. ACM Journal on Computing Surveys, 50(5), 1–39.
3. Manipriya, S., Mala, C., & Mathew, S. (2020). Significance of real time systems in intelligent transportation systems. In Chapter 5 in handling priority inversion in time-constrained distributed databases (pp. 61–85). IGI Global Publications.
4. Wen, L., Du, D., Cai, Z., Lei, Z., Chang, M.-C., Qi, H., Lim, J., Yang, M.-H., & Lyu, S. (2020). UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking. Journal on Computer Vision and Image Understanding, 193, 1–27.
5. Manipriya, S., Mala, C., & Mathew, S. (2020). Virtual mono-layered continuous containers for vehicle detection applications in intelligent transportation systems. Journal of Discrete Mathematical Sciences and Cryptography, 23(1), 321–328.
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