Alok Kumar Singh Kushwaha
Papers
5
Total Citations
28
H-Index
3
About
Alok Kumar Singh Kushwaha is a computer vision researcher whose work focuses on the critical intersection of human activity recognition and visual object tracking, particularly within surveillance environments. His research addresses fundamental challenges in video analysis, including the robust identification of human actions and the reliable tracking of moving objects across frames. Kushwaha’s contributions are marked by a systematic exploration of both traditional and deep learning approaches. His most cited work, a 2017 survey on deep learning for human activity recognition (12 citations), provides a comprehensive overview of how neural networks are revolutionizing applications from smart surveillance to human-computer interaction. He has also advanced object tracking methodologies, notably through his 2012 study on using the Energy of Daubechies Complex Wavelet Transform for tracking in video sequences (8 citations). By authoring multiple deep surveys on human activity recognition and object tracking in surveillance contexts, Kushwaha has established himself as a synthesizer of knowledge, helping to map the evolving landscape of these interconnected fields and guiding future research directions.
Research Focus
Key Achievements
Top Papers
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- 3Deep survey on visual object tracking in surveillance environment3 citations · 2018
- 4A Deep Survey on Human Activity Recognition in Video Surveillance3 citations · 2018
- 5