Object Detection & Tracking in Moving Background Under Different Environmental Conditions
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 3
Abstract
Abstract: Object detection and tracking has been a widely studied research problem in recent years. Currently system architectures are service oriented i.e. they offer number of services. All such common services are grouped together and are available as a domain called as service domain. One such service domain of our interest is LBS (location based service). The service of our interest is tracking. Tracking of moving objects is done in applications like surveillance systems, human computer interactions, object recognition, navigation systems etc. In real world, 3D, the object which we want to track is called as object of interest (OOI). Tracking has been a difficult task to apply in congested situations due to erroneous segmentation of objects. Commonreasons of inaccurate segmentation could be long shadows, partial and full occlusion of objects with each other and with stationary objects in the scene. Difficulties in tracking objects can arise due to appearance change ofobject as well as scene, unexpected object motion, non-rigid object structures, partial or full occlusions, and camera motion. In this paper we propose algorithm to detect and track objects in indoor or outdoor environment under various conditions such as high illumination, low illumination and hue.
Authors and Affiliations
Nandita Singh , Manoj Sabnis
Keywords
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