Dynamic Search Paths for Visual Object Tracking
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-33-6987-0_31
Reference20 articles.
1. Agarwal, N., Chiang, C.-W., Sharma, A.: A study on computer vision techniques for self-driving cars. In: International Conference on Frontier Computing, May 2019, pp. 629-634 (2019). ISBN: 978-981-13-3647-8. https://doi.org/10.1007/978-981-13-3648-5-76
2. Bertinetto, L., et al.: Fully-convolutional siamese networks for object tracking. CoRR abs/1606.09549 (2016). arXiv:1606.09549
3. Chen, B.X., Sahdev, R., Tsotsos, J.K.: Person following robot using selected online Ada-Boosting with stereo camera. In: 2017 14th Conference on Computer and Robot Vision (CRV), pp. 48–55 (2017)
4. Cho, H., et al.: A multi-sensor fusion system for moving object detection and tracking in urban driving environments. In: 2014 IEEE International Conference on Robotics and Automation (ICRA), pp. 1836–1843 (2014)
5. Gao, Y., Rehman, A., Wang, Z.: CW-SSIM based image classification. In: 2011 18th IEEE International Conference on Image Processing, pp. 1249–1252 (2011)
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