Real Time Movement Tracking System using Artificial Intelligence (RTMTSUAI)

dc.contributor.author	Ahmad, Aftab
dc.contributor.author	Bilal, Muhammad
dc.contributor.author	Abbas, Najaf
dc.contributor.author	Najeeb, Faisal
dc.contributor.author	Yousaf, Zaid
dc.contributor.author	Supervised by Dr. Hammad Afzal
dc.date.accessioned	2025-02-07T07:34:16Z
dc.date.available	2025-02-07T07:34:16Z
dc.date.issued	2022-06
dc.identifier.other	PCS-430
dc.identifier.uri	http://10.250.8.41:8080/xmlui/handle/123456789/49536
dc.description.abstract	In recent years, automated human tracking over camera networks is getting essential for video surveillance. The tasks of tracking human over camera networks are not only inherently challenging due to changing human appearance, but also have enormous potentials for a wide range of practical applications, ranging from security surveillance to retail and health care. This review paper surveys the most widely used techniques and recent advances for human tracking over camera networks.	en_US
dc.language.iso	en	en_US
dc.publisher	MCS	en_US
dc.title	Real Time Movement Tracking System using Artificial Intelligence (RTMTSUAI)	en_US
dc.type	Project Report	en_US