Semantic identification: balancing between complexity and validity
EURASIP Journal on Applied Signal Processing
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Main mobile object detection and localization is a task of major importance in the fields of video understanding, object-based coding and numerous related applications, such as content-based retrieval, remote surveillance and object recognition.The present work revisits the algorithm proposed in [13] for mobile object localization in both indoor and outdoor sequences when either a static or a mobile camera is utilized. The proposed approach greatly improves the trade-off between accuracy and time-performance leading to satisfactory results with a considerably low amount of computations. Moreover, based on the point gatherings extracted in [13], the bounding polygon and the direction of movement are estimated for each mobile object; thus yielding an adequate representation in the MPEG-7 sense.Experimental results over a number of distinct natural sequences have been included to illustrate the performance of the proposed approach.