P. Sivaprakash

Social Service Sericulture Project Trust

Papers

Total Citations

H-Index

About

P. Sivaprakash is a researcher in computer vision and intelligent systems, with a primary focus on human action recognition. His most cited work, "New approach for action recognition using motion based features" (2013, 12 citations), introduces a novel methodology for analyzing human actions through motion-based features extracted from video data. This contribution addresses the growing demand for robust action recognition in robotics and intelligent systems, where understanding human movement is critical for autonomous decision-making and human-robot interaction. By leveraging camera-based analysis, Sivaprakash’s approach enhances the ability to classify and interpret complex actions, laying groundwork for applications in surveillance, assistive technology, and interactive environments. His work underscores the importance of feature extraction in bridging low-level motion data with high-level semantic understanding. With a targeted impact in the evolving field of action recognition, Sivaprakash’s research continues to inform advancements in automated systems that require precise and efficient human behavior analysis.