Research and Application of Sun Shadow Location Technology in Video Big Data

This paper presents a sun shadow location model for quickly determining and analyzing the location and time of the photographed object in video big data. Because the length of the object's shadow usually changed, it is related to some factors, such as the solar zenith angle, the solar azimuth angle and the geographical latitude of the object. So it proposes building the location information fingerprint database, which shows mainly the relation between the length of the object’s shadow and time by reasonable assumptions for the interception of the video data. Then, it is very convenient to predict the location and time of the taken object by indexing the target in database. Finally, some experimental results show that the proposed model can accurately locate the object.