On the Real Time Object Detection and Tracking


  • Praful V. Barekar
  • Kavita R. Singh
  • Shailesh D. Kamble
  • Bhagyashree V. Ambulkar




Object Detection, Tracking, Segmentation, and Video processing


Object detection and tracking is widely used for detecting motions of objects present in images and video.
Since last so many decades, numerous real time object detection and tracking methods have been proposed by
researchers. The proposed methods for objects to be tracked till date require some preceding information
associated with moving objects. In real time object detection and tracking approach segmentation is the initial
task followed by background modeling for the extraction of predefined information including shape of the objects,
position in the starting frame, texture, geometry and so on for further processing of the cluster pixels and video
sequence of these objects. The object detection and tracking can be applied in the fields like computerized video
surveillance, traffic monitoring, robotic vision, gesture identification, human-computer interaction, military
surveillance system, vehicle navigation, medical imaging, biomedical image analysis and many more. In this
paper we focus detailed technical review of different methods proposed for detection and tracking of objects. The
comparison of various techniques of detection and tracking is the purpose of this work.




How to Cite

Praful V. Barekar, Kavita R. Singh, Shailesh D. Kamble, & Bhagyashree V. Ambulkar. (2022). On the Real Time Object Detection and Tracking. JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH, 4(1). https://doi.org/10.46947/joaasr412022228