Abstract: The present invention relates to a water level monitoring device and method, which has an advantage of efficient water level monitoring and high device reliability by setting a portion of an area including the water area and the shore area in the image data, monitoring an area in the horizontal direction other than the vertical direction through the image, decreasing complexity by significantly reducing the computational amount over an existing vertical direction water level measuring system, excluding noises such as floating matters, irregular reflection and so on through a water level model generating process for area distinction, and generating a water level model adaptive to environmental factors such as algal bloom, muddy water and so on.

Abstract: The present invention relates to a water level monitoring device and method, which has an advantage of efficient water level monitoring and high device reliability by setting a portion of an area including the water area and the shore area in the image data, monitoring an area in the horizontal direction other than the vertical direction through the image, decreasing complexity by significantly reducing the computational amount over an existing vertical direction water level measuring system, excluding noises such as floating matters, irregular reflection and so on through a water level model generating process for area distinction, and generating a water level model adaptive to environmental factors such as algal bloom, muddy water and so on.

Abstract: The present invention relates to a video surveillance apparatus and method using a dual camera, which is capable of applying any camera videos with a result of video analysis made based on one selected from videos provided from a special purpose camera, such as a thermal image camera, and a visible light camera. Since the video surveillance apparatus and method is capable of arranging a visible light camera and a special-purpose camera in the same surveillance area, securing FOV differences between these cameras as pixel matching parameters between images by the medium of the same space corresponding to an image of each camera, performing selective video analysis for one of these parameters, and checking a result of the analysis in any camera images through the matching information in the same way, it is possible to guarantee autonomy of video switching, continuity of object tracking in video switching, and high reliability.