no code implementations • 4 Mar 2019 • Mandrita Mondal, Kumar S. Ray
Several technological limitations of traditional silicon based computing are leading towards the paradigm shift, from silicon to carbon, in computational world.
no code implementations • 15 Aug 2018 • Rajesh Misra, Kumar S. Ray
In Computer Vision, object tracking is a very old and complex problem. Though there are several existing algorithms for object tracking, still there are several challenges remain to be solved.
no code implementations • 16 Nov 2017 • Rajesh Misra, Kumar S. Ray
We are proposing a novel approach where particles movement will not be depend on its velocity rather it will be decided by constrained biased random walk of particles.
no code implementations • 2 Jun 2017 • Kumar S. Ray, Anit Chakraborty, Sayandip Dutta
Subsequently, matching these feature sets with those of the extracted object blobs that are obtained by subtracting the shadow free background from the foreground, we detect successfully our object of interest from the test domain.
no code implementations • 24 May 2017 • Rajesh Misra, Kumar S. Ray
In Computer Vision domain, moving Object Tracking considered as one of the toughest problem. As there so many factors associated like illumination of light, noise, occlusion, sudden start and stop of moving object, shading which makes tracking even harder problem not only for dynamic background but also for static background. In this paper we present a new object tracking algorithm based on Dominant points on tracked object using Quantum particle swarm optimization (QPSO) which is a new different version of PSO based on Quantum theory.
no code implementations • 11 May 2017 • Kumar S. Ray, Soma Chakraborty
The performance of the algorithm is also comparable with some of the state-of-the-art algorithms for object detection and tracking.
no code implementations • 28 Apr 2017 • Kumar S. Ray, Vijayan K. Asari, Soma Chakraborty
To detect actual moving object in this work, spatio-temporal blobs have been generated in each frame by spatio-temporal analysis of the image sequence using a three-dimensional Gabor filter.
no code implementations • 12 Apr 2017 • Kumar S. Ray, Sayandip Dutta, Anit Chakraborty
After successful recognition of objects, we use species based PSO algorithm as the alignments of our object of interest is analogues to observation likelihood and fitness ability of species.
no code implementations • 15 Feb 2017 • Kumar S. Ray, Mandrita Mondal
Because of several technological limitations of traditional silicon based computing, for past few years a paradigm shift, from silicon to carbon, is occurring in computational world.