A micro controller unit (MCU) oriented image acquisition and automatic guidance system is proposed. Image rectification and guidance recognition are discussed. The relation between camera setting and sight view is ill...A micro controller unit (MCU) oriented image acquisition and automatic guidance system is proposed. Image rectification and guidance recognition are discussed. The relation between camera setting and sight view is illustrated for smart car. A novel edge detection and trend prediction method is proposed for MCU processing unit for automatic guidance. A hardware-based binary proposal is discussed for guidance information detection with raster data. Keystone distortion correcting algorithm is also designed for MCU application and the performance of track type recognition is improved. Together with rollover preventing calculation, the proposed design is successfully applied to a 1∶10 scale model car.展开更多
Security access control systems and automatic video surveillance systems are becoming increasingly important recently,and detecting human faces is one of the indispensable processes.In this paper,an approach is presen...Security access control systems and automatic video surveillance systems are becoming increasingly important recently,and detecting human faces is one of the indispensable processes.In this paper,an approach is presented to detect faces in video surveillance.Firstly,both the skin-color and motion components are applied to extract skin-like regions.The skin-color segmentation algorithm is based on the BPNN (back-error-propagation neural network) and the motion component is obtained with frame difference algorithm.Secondly,the image is clustered into separated face candidates by using the region growing technique.Finally,the face candidates are further verified by the rule-based algorithm.Experiment results demonstrate that both the accuracy and processing speed are very promising and the approach can be applied for the practical use.展开更多
文摘A micro controller unit (MCU) oriented image acquisition and automatic guidance system is proposed. Image rectification and guidance recognition are discussed. The relation between camera setting and sight view is illustrated for smart car. A novel edge detection and trend prediction method is proposed for MCU processing unit for automatic guidance. A hardware-based binary proposal is discussed for guidance information detection with raster data. Keystone distortion correcting algorithm is also designed for MCU application and the performance of track type recognition is improved. Together with rollover preventing calculation, the proposed design is successfully applied to a 1∶10 scale model car.
基金This work is supported by the National Natural Science
文摘Security access control systems and automatic video surveillance systems are becoming increasingly important recently,and detecting human faces is one of the indispensable processes.In this paper,an approach is presented to detect faces in video surveillance.Firstly,both the skin-color and motion components are applied to extract skin-like regions.The skin-color segmentation algorithm is based on the BPNN (back-error-propagation neural network) and the motion component is obtained with frame difference algorithm.Secondly,the image is clustered into separated face candidates by using the region growing technique.Finally,the face candidates are further verified by the rule-based algorithm.Experiment results demonstrate that both the accuracy and processing speed are very promising and the approach can be applied for the practical use.
