Estimated height & gender based on color histogram a fused modality tracking of a suspect in surveillance video utilizing existing methods & trajectory clustering

dc.contributor.advisorRaval, Mehul
dc.contributor.authorGoswami, Maruti
dc.date.accessioned2025-08-31T09:41:48Z
dc.date.available2025-08-31T09:41:48Z
dc.date.issued2016
dc.description.abstractThe age is changing now as the terrorists and technology is advance and the advent of the new hardware technology and powerful computers are nowadays very powerful and consume relatively less power, than the predecessors technology. The soft biometric trits are less costly with respect to the time and space consumption as needs less resource to process. The contribution of the this work to test some light weight methods that needs less computation and the segmentation techniques. To make the system real time. The soft biometrics traits are covered physical trait height which is continue in nature during the session and for appearance color descriptors and a sider information generator used as the clustering of the trail points converted to trajectories. As, the literature and the other soft biometric triats can be added make the system more universal but for more than 5 even 10 traits for proper recognition and identi cation need more process at large scale so for that new methods of semi strong methods which individually may not work but collectively can increase the accuracy and tracking of the person(s).
dc.description.degreeMaster of Technology
dc.identifier.urihttps://ir.ahduni.edu.in/handle/123456789/5286
dc.language.isoen
dc.publisherAhmedabad University
dc.sourceSchool of Engineering and Applied Science
dc.subjectComputer Science and Engineering
dc.titleEstimated height & gender based on color histogram a fused modality tracking of a suspect in surveillance video utilizing existing methods & trajectory clustering
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
201521004.pdf
Size:
1.41 MB
Format:
Adobe Portable Document Format