Methods for real-time object searching and recognizing in video images on ios mobile platform
The features of the most common methods and systems for searching and recognizing objects in video are explored. The research shows the feasibility of building search and recognition tools for the iOS platform in real time. The method of functional adaptation of the algorithm of search and recognition of objects to features of video is offered, which consists in processing of video image by smoothing and minimization filters, which reduces the time of search and recognition of objects. The block diagram and algorithm of system functioning were designed.