An indexing method for spatial object in video using image processing and photogrammetry

To support video-map cross-reference and bi-directional search, it is necessary to index spatial object with regard to each video frame. However, it costs a great deal of effort to index spatial objects in all frames of video whose frame rate is about 30 frames/second. Therefore, we index spatial object only about 1 random frame per second, and index the spatial object in other frames by interpolation. However, when processing video frames with 1-second interval, the low spatial redundancy of spatial objects in the video makes the indexing of spatial objects difficult because object tracking is nearly impossible only with image-based method. We devise an efficient indexing method for spatial objects in video frame, by combining photogrammetric solution with image-based method. The suggested method can efficiently index spatial object in video frames and support content-based retrieval of spatial object in video.