Show simple item record

dc.contributor.authorkumar, Ravikant
dc.contributor.authorMaheshwari, Vaibhav
dc.date.accessioned2023-12-08T06:01:19Z
dc.date.available2023-12-08T06:01:19Z
dc.date.issued2022
dc.identifier.urihttp://10.10.11.6/handle/1/12311
dc.description.abstractThis paper covers topics starting from how computing and machine learning algorithms facilitate object detection to how OpenCV is such a great tool for beginners who want to be told however real time object detection and pursuit is done. It conjointly shows the flexibleness of a pursuit system to a moving camera, ideal for automotive safety applications. the item pursuit algorithmic program is termed centre of mass pursuit because it depends on the geometrician distance between (1) existing object centroids (i.e., objects the centre of mass huntsman has already seen before) and (2) new object centroids between ensuant frames in an exceedingly videoen_US
dc.language.isoen_USen_US
dc.publisherGALGOTIAS UNIVERSITYen_US
dc.subjectComputer Science, Engineering, Object detection, OpenCV, Pythonen_US
dc.titleObject detection using OpenCV and Pythonen_US
dc.typeTechnical Reporten_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record