Face Detection, Verifcation and Recognition in Video Frames

Project Member(s): Yang, Y.

Funding or Partner Organisation: D2D CRC LTD
D2D CRC LTD

Start year: 2017

Summary: The student seeks to do research which will be built on the current algorithms, but focus on dealing with real world imagery data from social media platforms. Different strategies will be proposed and tested to improve both accuracy and efficiency, thereby developing effecting yet efficient intelligent systems for face detection and recognition over large scale imaginary datasets.

Publications:

Luo, M, Nie, F, Chang, X, Yang, Y, Hauptmann, AG & Zheng, Q 2017, 'Avoiding Optimal Mean ℓ2,1-Norm Maximization-Based Robust PCA for Reconstruction', Neural Computation, vol. 29, no. 4, pp. 1124-1150.
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Chang, X, Yang, Y, Long, G, Zhang, C & Hauptmann, AG 1970, 'Dynamic Concept Composition for Zero-Example Event Detection', 30th AAAI Conference on Artificial Intelligence, AAAI 2016, AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, Phoenix, Arizona, United States, pp. 3464-3470.

Zheng, L, Zhang, H, Sun, S, Chandraker, M, Yang, Y & Tian, Q 1970, 'Person Re-identification in the Wild', Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Honolulu, HI, USA, pp. 3346-3355.
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FOR Codes: Computer Vision, Electronic Information Storage and Retrieval Services

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.