A NEURAL-NETWORK APPROACH FOR MOVING OBJECTS RECOGNITION IN COLOR IMAGE SEQUENCES FOR FURVEILLANCE APPLICATIONS

该系统采用三块TCS230颜色传感器，监测轮船经过后海水的颜色变化的情况，数据采用就地处理，并运用改进型BP神经网络算法进行污染模式训练和模式识别。通过nRF401无线数字收发器，把污染识别的结果发送回监 视器，再通过字符和语音对识别结果进行报告。把轮船污染数据采集器安装在轮船尾部两侧进行实时监测，结果表明，监测速快，精确度高。-The system uses three TCS230 color sensor to monitor the ship through the water

运用matlab，实现矢量版局部二值模式人脸识别，实现效果好-Use matlab, realize the vector version of local binary pattern recognition, to achieve good results

Fusing color and shape descr iptors in the recognition of degraded iris images acquired at visible wavelengths(1)