Three-dimensional Head Tracking Using Adaptive Local Binary Pattern in Depth Images
| Autor: | Changyong Yoon, Joongrock Kim |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Logic
Local binary patterns Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology 01 natural sciences Data acquisition Artificial Intelligence 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Computer vision Invariant (mathematics) 010306 general physics Human head business.industry Pattern recognition Head tracking Human motion Computer Science Applications Computational Theory and Mathematics Signal Processing 020201 artificial intelligence & image processing Artificial intelligence business Image based |
| Zdroj: | The International Journal of Fuzzy Logic and Intelligent Systems. 16:131-139 |
| ISSN: | 2093-744X 1598-2645 |
| DOI: | 10.5391/ijfis.2016.16.2.131 |
| Popis: | Recognition of human motions has become a main area of computer vision due to its potential human-computer interface (HCI) and surveillance. Among those existing recognition techniques for human motions, head detection and tracking is basis for all human motion recognitions. Various approaches have been tried to detect and trace the position of human head in two-dimensional (2D) images precisely. However, it is still a challenging problem because the human appearance is too changeable by pose, and images are affected by illumination change. To enhance the performance of head detection and tracking, the real-time three-dimensional (3D) data acquisition sensors such as time-of-flight and Kinect depth sensor are recently used. In this paper, we propose an effective feature extraction method, called adaptive local binary pattern (ALBP), for depth image based applications. Contrasting to well-known conventional local binary pattern (LBP), the proposed ALBP cannot only extract shape information without texture in depth images, but also is invariant distance change in range images. We apply the proposed ALBP for head detection and tracking in depth images to show its effectiveness and its usefulness. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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