Tracking People by Detection Using CNN Features

Author:

Chahyati Dina,Fanany Mohamad Ivan,Arymurthy Aniati Murni

Publisher

Elsevier BV

Subject

General Engineering

Reference12 articles.

1. L. Leal-Taixe, T.C. Ferrer, K. Schindler, Learning by Tracking: Siamese CNN for Robust Target Association, https://arxiv.org/pdf/1604.07866v3.pdf.

2. A. Milan, L. Leal-Taixe, I. Reid, K.Schindler, MOT16: A Benchmark for Multi-Object Tracking, https://arxiv.org/pdf/1603.00831v2.pdf.

3. G. Zhu, F. Porikli, H.Li, Robust Visual Tracking with Deep Convolutional Neural Network based Object Proposals on PETS, CVPR 2016.

4. S.Ren, K.He, R.Girshick, J.Sun, Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. PP, Issue: 99, 2016.

5. IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, PETS 2016. http://www.pets2016.net/.

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