through more specifically part 1010 of the heat map 1000 is the area in which most of the people who spent 10 20 seconds in this roi spent their time fewer shoppers spent less than 20 seconds in area 1015 it is noted that this area 1010 is across from aisle 1020 one conclusion that can be drawn from the particular dwell time analysis shown in fig1 is that aisle 1020 is one of the main aisles in the store by which customers travel to get to aisle 1025 this conclusion could be confirmed by performing a shoppers in region analysis as describe herein long dwell time of shoppers near produce table or shelves usually refers to a buying activity or at least high interest in a product for example 20 40 seconds in a short aisle or more than 40 seconds in a long alley fig1 shows an example of a gt 40 seconds heat map 1100 of the same aisle 1025 as illustrated in fig1 it can be seen that most of the people that remained in this roi more than 40 seconds were busy with a buying activity near the refrigerators 1105 the darkest locations 1110 denote the hottest ones u2014 meaning that more shoppers spent more than 40 seconds at these particular locations in aisle 925 the dwell time analysis tool of the present invention can answer question like how many object which visited a region during a period stayed in this region for a certain amount of time this type of query gives insights on the object count query because it tells how many objects which were counted stayed in the region certain amount of time this type of information is very useful for visualize the hot spots in a store and it.