Chandra Mani Sharma
Papers
1
Total Citations
8
H-Index
1
About
Chandra Mani Sharma is a researcher whose work lies at the intersection of computer vision, video surveillance, and signal processing, with a particular focus on object tracking and wavelet-based analysis. His most-cited paper, "Moving Object Tracking in Video Sequences based on Energy of Daubechies Complex Wavelet Transform" (2012, 8 citations), addresses the persistent challenge of tracking objects in video—a task critical to applications like video compression, surveillance, and robotics. Sharma’s contribution lies in leveraging the Daubechies complex wavelet transform to improve tracking accuracy for both rigid and non-rigid object boundaries, offering a robust alternative to conventional spatial-domain methods. While his citation count reflects a niche but foundational impact, his work underscores the importance of wavelet energy features in enhancing motion detection and tracking reliability. Sharma’s research is particularly valuable for students and engineers developing real-time surveillance systems or autonomous navigation technologies, as it bridges theoretical wavelet mathematics with practical video analysis. His achievements highlight a dedicated focus on advancing object tracking methodologies, making him a notable figure in the evolving landscape of computer vision and video processing.
Research Focus
Key Achievements
Top Papers
- 1