2 publications

• Published Subscription 26 Feb 2015

  A Novel General Purpose GPU Computing Scheme for Automated Multi-Object Surveillance

  By Akriti Sahu, Rajesh Tiwari

  Abstract: In this study we presented a Graphic Processing Unit (GPU) based computing scheme for the division of large computational jobs such as of computer vision for the minimal processing time to facilitate the tracking of multiple objects in real time. The system comprises of the two objectives i.e., to dynamically parallelize the jobs and to reduce the CPU (Central processing unit) to GPU communication time. This will facilitate the other …

  Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 1–5 Read article →

• Published Subscription 11 Jan 2015

  Video Surveillance and Object Tracking: A Survey

  By Akriti Sahu, Rajesh Tiwari

  Abstract: The multiple object tracking from video sequences has been an open research question for so many years. It remained a demanding research for the tracking of motion and simultaneous object detection within a domain range of image processing and computer vision. The tracking methodologies involve object segmentation, background subtraction, feature descriptors like mean-shift, particle filter. Thus, the performance of such tracking methods varies with the computational complexity which relies on …

  Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 3, 2014 · pp. 15–23 Read article →