Object Tracking Using OpenCYand Python

• Published in: Annals of the Romanian society for cell biology Vol. 25; no. 6; pp. 7815 - 7824
• Main Authors: Thirupathi, J, Rao, N V Krishna, Bala, Mmadhu, Prathima, K, Naveen, D, Mallikarjun, G
• Format: Journal Article
• Language: English
• Published: Arad "Vasile Goldis" Western University Arad, Romania 01.01.2021
• Subjects: Algorithms; Cameras; Cellular biology; Computers; Embedded systems; Keyboards; Libraries; Sensors; Software; Streaming media; Surveillance; Webcams
• ISSN: 2067-3019; 2067-8282

Object tracking created great interest because of proliferation of high-powered computers, the availability of high quality and inexpensive video cameras, and the increasing need for automated video. The main reason why we use tracking algorithms is that achieving high performance and a near-real-time object detection in both largescale systems and embedded platforms. [...]a reliable and accurate near real-time object detection application, running on an embedded system, is crucial, due to the rising security concerns in different fields. Pandas Pandas is also Python Library which is open source providing data manipulation and analysis tool using its data structures.It is used for data munging and data preparation. 5.Medianflow The Special feature of this tracker is that it tracks object in both forward and backward directions and measures discrepancies between these two, so we have to minimize this forward backward error, so it can detect tracking failure. 6.CSRT This type of tracker uses special reliability map for adjusting filter support to selected region from frame which we take for tracking.