Falling Down Detection At Night By Thermal Imager

• Main Authors: Wen-yao Tsai, 蔡文耀
• Other Authors: Kuo-chin Fan
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/15998101551746995570

碩士 === 國立中央大學 === 資訊工程研究所 === 100 === Falling down is an important factor for dangerous evaluation. No matter it is caused due to physical discomfort or accident. If it is not detected at real time, it will probably miss the prime time of rescuing. In this thesis, we focus on safety monitoring in the night of low-light environments. The situations occur frequently for indoor elderly care at night or pedestrian zebra crossing at night. Our work is designed mainly on falling down detection of pedestrians. If the system detects the situation that someone falls down in zebra crossing and can not climb up in a certain period of time, it will be synchronized with the traffic light controller to increase the green light period on the zebra crossing side. In the meantime, an alert is triggered. Alert is issued in the form of sound or flashing alarm whenever falling down situation is detected to warn the drivers. Different from general traffic safety system capturing images by CCD cameras, noises and environmental effects usually generate images with very poor quality and lose a lot of originally visible information at night. Hence, traditional camera-based systems do not work well. To alleviate this problem, some security systems add infrared ray to assist image capturing. However, the images are still not clear enough to assure the normal operation of most security systems in the fully dark environment. In our work, thermal cameras are adopted instead to replace traditional cameras to overcome the aforementioned problems. Thermal cameras can extract clear and complete body contours even in the absence of lights. Experimental results demonstrate the feasibility and validity of our proposed method in detecting the occurrence of falling down, especially in nighttime.