CROWD BEHAVIOR DETECTION IN VIDEO SEQUENCES

dc.contributor.author	Razzak, Bilal Abdul Reg # 45958
dc.contributor.author	Ahmed, Sohail Reg # 46044
dc.contributor.author	Khan, Muhammad Hammad Reg # 46003
dc.date.accessioned	2023-12-05T05:57:57Z
dc.date.available	2023-12-05T05:57:57Z
dc.date.issued	2020
dc.identifier.uri	http://hdl.handle.net/123456789/16691
dc.description	Supervised by Amna Ifthikhar	en_US
dc.description.abstract	It is very unreliable to implement manual analysis on crowd due to the density of human’s unstructured behaviour, it is difficult to manage the abnormal behaviour of the crowd. The target of this project is to develop image recognition algorithms to recognize the physical behaviour of an individual. This report explores various techniques utilized forthe recognition ofhuman’s physical behaviour. Different stages involving image processing like the pre-processing stage, feature extraction and pose estimation are studied and discussed in the report. The main advantage of using this technique is that it provides features extraction and detection that is suitable for character recognition	en_US
dc.language.iso	en_US	en_US
dc.publisher	Bahria University Karachi Campus	en_US
dc.relation.ispartofseries	BSCS;MFN 292
dc.title	CROWD BEHAVIOR DETECTION IN VIDEO SEQUENCES	en_US
dc.type	Project Reports	en_US