METHOD, SYSTEM AND COMPUTER PROGRAM PRODUCT FOR SELF-LEARNED AND PROBABILISTIC-BASED PREDICTION OF INTER-CAMERA OBJECT MOVEMENT

摘要

A method, system and computer program product for self-learned and probabilistic-based prediction of inter-camera object movement is disclosed. The method includes building and storing a transition model defined by transition probability and transition time distribution data generated during operation of a first video camera and one or more other video cameras over time. The method also includes employing at least one balance flow algorithm on the transition probability and transition time distribution data to determine a subset of the video cameras to initiate a search for an object based on a query. The method also includes running the search for the object over the subset of the video cameras.