Parallel processing on real-time gesture recognition system

• Authors: K. Srijeyanthan;Chamara Jayalath
• Venue: Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
• Year: 2011

In the modern world, surveillance is ubiquitous and pervasive. One of the most common such surveillance is video surveillance. While the present day technological advances have provided the state-of-the-art gadgetry for those involved in surveillance to acquire video imagery data and for the processing, transmitting, storage and retrieval of such data, much of the analysis, interpretation and recognition is still a manual effort. One area of interest in vision and image processing is automated identification of objects in real-time or recorded video streams and analysis of these identified objects. Human motion identification and video processing have been used in critical crime investigations and highly technical applications usually involving skilled human experts. Although the technology has many uses that can be applied in every day activities, it has not been put into such use due to requirements in sophisticated technology, human skill and high implementation costs. Performance and processing time are most important design parameters of this types of systems. Those two are interrelated to each other. This system is using many heavy computational algorithms in each and every component. So it may take more processing time, as a result performance may reduce. This paper presents a research and analysis of various parallel processing methods and proposed method which can be applied to such a real time gesture recognition system.