Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Multiple
object detection and tracking are the essential components required by a
variety of intelligent applications. Object detection identifies the location
of the object in a scene whereas object tracking associates the detected object
over a sequence of frames. A variety of techniques has been developed in the
past few decades, which can be broadly classified into 2D and stereo based 3D techniques.
Majority of these techniques produce reliable results under specific
assumptions in constrained scenarios [1]. These constraining assumptions are
introduced to reduce the number of complicating factors, which are inherent in
object detection and tracking. The most common assumptions are about
environmental conditions, object appearance, flow density, background color
intensity information, duration of time for which an object exists in the
scene, objects occlusion, limitation regarding number of objects within the
scene, etc. The reliability of these techniques is not guaranteed in real- time
applications. The robust object detection and tracking in an unconstrained
environment is the key requirement of state-of-the-art surveillance system [2].
Country : Sultanate of Oman
IRJIET, Volume 7, Issue 12, December 2023 pp. 171-176