Chieko Onuma

Detection of objects including persons using image processing

We studied methods for observing objects including persons. First, we clarified the limit of exponential smoothing using fixed point operations executed by general image processors, then we proposed a method for detecting objects that are left in a crowd using exponential smoothing with accumulation of binarized images. The experimental results of left objects detection had a higher than 90% recognition rate. Finally, we proposed a doubtful objects detection method by analyzing objects movements. We clarified the suitability of the proposed method by experiments.

Leakage detection system using image processing

We have developed a prototype system for leakage detection using image processing. The system detects oil, water, or vapor leaks from plant components at power plants. Its features are summarized as follows: (1) By setting the first sampled image of the scene as the reference image and storing another type of reference image as a form of an x-projection, leakage detection for oil or water, even in a steady flow, was realized; (2) Mis-detection of oil or water leaks, due to effects from vibrations of plant components and cameras could be eliminated by using non-vibrating monitoring regions; and (3) Leakage detection for oil or water required at least 200 (1X) brightness at the measured objects and a 550 X 418 (mm) vision range, while vapor leakage detection could be done in a 5000 X 3800 (mm) vision range.