Unconstrained Multiple Face Tracking Using Convolutional Neural Networks

Author:

Ramakrishna B. B.,Kumari Sharmila

Publisher

Springer Singapore

Reference23 articles.

1. Wu B, Hu B-G, Ji Q (2017) A coupled hidden Markov random field model for simultaneous face clustering and tracking in videos. Pattern Recogn 64:361–373

2. Le N, Heili A, Wu D, Odobez J-M (2016) Temporally subsampled detection for accurate and efficient face tracking and diarization. In: International conference on pattern recognition (ICPR). IEEE, pp 1792–1797

3. Shi X, Wu J, Ling X, Zheng Q-l, Pan X-q, Zhao Z-q (2016) Realtime face recognition method based on the threshold determination of the positive face sequence. In: International conference on industrial engineering and engineering management, pp 125–136

4. Zhang K, Zhang Z, Li Z, Qiao Y (2016) Joint face detection and alignment using multitask cascaded convolutional networks. IEEE Signal Process Lett 23(10):1499–1503

5. Henschel R, Leal-Taix L, Cremers D, Rosenhahn B (2017) Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking. arXiv:1705.08314

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