Work place: University of Science, Ho Chi Minh City, 700000, Viet Nam
Research Interests: Image Processing, Image Manipulation, Image Compression, Computer systems and computational processes
Pham Minh Hoang is a Lecturer and Senior Researcher at the University of Science, VNU-HCMC, Vietnam. His research interests include Image Processing, 3D Reconstruction, and Interactive Surface
DOI: https://doi.org/10.5815/ijigsp.2018.09.03, Pub. Date: 8 Sep. 2018
Human-Computer Interaction (HCI) is one of the most interesting and challenging research topics in computer vision community. Among different HCI methods, hand gesture is the natural way of human-computer interaction and is focused on by many researchers. It allows the human to use their hand movements to interact with machine easily and conveniently. With the birth of depth sensors, many new techniques have been developed and gained a lot of achievements. In this work, we propose a set of features extracted from depth maps for dynamic hand gesture recognition. We extract HOG2 for shape and appearance of hand in gesture representation. Moreover, to capture the movement of the hands, we propose a new feature named HOF2, which is extracted based on optical flow algorithm. These spatial-temporal descriptors are easy to comprehend and implement but perform very well in multi-class classification. They also have a low computational cost, so it is suitable for real-time recognition systems. Furthermore, we applied Robust PCA to reduce feature’s dimension to build robust and compact gesture descriptors. The robust results are evaluated by cross-validation scheme using a SVM classifier, which shows good outcome on challenging MSR Hand Gestures Dataset and VIVA Challenge Dataset with 95.51% and 55.95% in accuracy, respectively.[...] Read more.
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