Moving Object Classification Using Cloud Environment Through Haar Classifiers
In this paper the authors implement a moving object classification system with cloud environment which is used for tracking any objects in non-ideal environment using android mobile. The tracked image is send to the cloud for storage and classification. The image is then retrieved by the system from the cloud storage (image sent by the android mobile) and it is classified based on the HAAR classifier algorithm. The HAAR classifier algorithm classifies the objects by comparing it with the objects in the cloud database and tracked objects and stores the result objects in the cloud for providing the details to be accessed anytime, anywhere from the remote system.