Research Paper | Electronics & Communication Engineering | India | Volume 3 Issue 7, July 2014
Partial Swarm Optimization for Minimizing Occlusion Problem during Multi-Face Recognition
M. A. Archana, Dinesh Kumar.T, Dr. C. Parthasarathy
Visual surveillance in crowded scenes, especially for humans, has recently been one of the most active research topics in machine vision because of its applications such as deter and response to crime, suspicious activities, terrorism or other illegal activities. One of the most important problems in multiple face tracking is the occlusion problem. The occlusion problem can be overcome by using the partial swarm optimization (PSO) as a tracker in addition to the kalman filter. Kalman filter is used for filtering the frames and also for removing the Gaussian noise. For face tracking in a video sequence, various face tracking algorithms have been proposed however, most of them have a difficulty in finding the initial position and size of a face automatically. In this, we present a fast and robust method for fully automatic multiple face detection and tracking. Using a small number of critical rectangle features selected and trained by various algorithms, we can detect the initial position, size and view of a face correctly. Face tracking and detection will be done for images and also for the recorded videos but not for live video systems. We are extending the face tracking system for the live videos also with the help of new tracker and the new version tools.
Keywords: Partial Swarm Optimization, Video, image processing, Spatial transformations, occlusion, face tracking
Edition: Volume 3 Issue 7, July 2014
Pages: 747 - 750
How to Cite this Article?
M. A. Archana, Dinesh Kumar.T, Dr. C. Parthasarathy, "Partial Swarm Optimization for Minimizing Occlusion Problem during Multi-Face Recognition", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=20141147, Volume 3 Issue 7, July 2014, 747 - 750
Similar Articles with Keyword 'Video'
Saliency Technique for Efficient Back Ground Subtraction
Aiswarya Muralidharan, S. Sivakumar
ASIC Design of Sample Rate Convertor
Roopa M, H. Sudha
Similar Articles with Keyword 'image processing'
Segmentation of Touching Characters in Indian Scripts
B. Hari Kumar, N. Sateesh
Review - COVID-19 Detection System Using Image Processing and Biomedical
Prajkta D. Gawande, Dr. G. D. Dalvi
Similar Articles with Keyword 'occlusion'
Design Transceiver for IEEE 802.15.4 using ZigBee Technology and Matlab/Simulink
Pravesh Kumar Agarwal
Simulink Model For Object Tracking using Optical Flow
Shailendra Kumar Singh, Utkarsh Sharma
Similar Articles with Keyword 'Partial'
Eye Controlled Wheelchair Using Image Processing Techniques
Prateek Bansal, Ritvik Singhal, Vijay Khare
Enhanced Way Tagged Cache Design Using Partial Tag Bloom Filter for Low Level (L2) Cache
Shaima Ibrahim, Sumi Babu
Similar Articles with Keyword 'Swarm'
Particle Swarm Optimization in Foreground Segmentation for Live Video
Harsha M., Mithra S T
Edge Detection with Execution Time Using Different Optimization Techniques & Their Comparative Analysis
Harinder Singh, Sukhjit Singh
Similar Articles with Keyword 'Optimization'
Planning and Optimization Approach using Genetic Algorithms of a New Generation Cellular Network Capitalizing on the Existing Sites
Raphael Nlend, Emmanuel Tonye
Communication between Multiple Resources Using Arbiter Design
Shital S. Horte, Dr. D. V. Padole