1. A method for analyzing shopping behavior of a plurality of persons in a retail space by associating RFID data with video-based behavior analysis data using a computer vision based behavior analysis and segmentation technology performed on a computer, comprising the following steps of: a) capturing a plurality of input images of the plurality of persons by a plurality of means for capturing images, b) processing the plurality of input images in order to analyze the behavior of the plurality of persons in each field of view of the plurality of means for capturing images, by applying a plurality of computer vision technologies on the plurality of input images, wherein the plurality of computer vision technologies comprise face detection, person tracking, body parts detection, and demographic classification, c) sensing RFID tag data utilizing a plurality of means for sensing and using RFID tag, d) associating the video-based behavior analysis data of the plurality of persons with the RFID tag data, and e) correlating a plurality of associations for each person, in the plurality of persons, in different locations and different windows of time to have an entire tracking of the shopping path for the person, wherein the correlation integrates fragmented video tracking segments into the entire tracking of the shopping path from one location to another location with a help of proximity detection using the associated RFID tag data, and wherein the RFID tag data comprise time, location, and identification of the RFID tag at the time they were sensed by the plurality of means for sensing and using RFID tag.