Temporal and spatial information extraction from videos based on the change in length of the shadow

Jiayun Wang; Jian Zu; Likang Wang

doi:10.1117/12.2268704

17 March 2017 Temporal and spatial information extraction from videos based on the change in length of the shadow

Jiayun Wang, Jian Zu, Likang Wang

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103410U (2017) https://doi.org/10.1117/12.2268704
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

Abstract

In this paper, considering the atmospheric refractive index, we present an approach to extract the recording date and geo-location from videos, based on the alteration of the shadow length. The paper carefully takes different information (photographed date, the length of the selected object) of the given video into consideration and forms a comprehensive approach to extract the temporal and spatial information of the given video. On the basis of this approach, we analyze the shadow length data of a chosen object from a real video and extract the temporal and spatial information of the video. Compared with the actual information, the error is less than 1%, which proves the validity of our approach.

Citation Download Citation

Jiayun Wang, Jian Zu, and Likang Wang "Temporal and spatial information extraction from videos based on the change in length of the shadow", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103410U (17 March 2017); https://doi.org/10.1117/12.2268704

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