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Vision based target recognition through unmanned ground vehicle

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dc.contributor.author Shafqat, Saad Bin
dc.contributor.author khan, Abubakar Ali
dc.contributor.author Hassan, Hannan
dc.contributor.author Supervised by Dr. Faheem Arif
dc.date.accessioned 2020-11-10T07:22:18Z
dc.date.available 2020-11-10T07:22:18Z
dc.date.issued 2012-07
dc.identifier.other PCS-211
dc.identifier.other BESE-14
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/11181
dc.description.abstract Human resources are a very important part of any field especially when it comes to Military. With the advancements in the world and the techniques and equipment utilized by the army of these modern times, every country needs to keep pace with the modern equipment. One of the most developing technology and is used all around the world is drone technology. We are inspired by the drone technology which is to move an UGV (unmanned ground vehicle). Image processing has been a very rapidly developing field of computer science. Its techniques and algorithms have been implemented into various practical systems such as gesture recognition, face recognition, and drone technology. Target recognition is also an area where there has been a lot of work with many different products coming out. From drones to different ground vehicles to go from A point to B point and find and recognize a specific object. Automated video systems have been proven to perform effectively and with a high success rate in a controlled static environment. However the challenge is to deploy video surveillance cameras in the outdoors that maintain a high probability of target detection. en_US
dc.language.iso en en_US
dc.publisher MCS en_US
dc.title Vision based target recognition through unmanned ground vehicle en_US
dc.type Technical Report en_US


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