A new scene recognition system was presented based on fuzzy logic and hidden Markov model(HMM)that can be applied in mine rescue robot localization during emergencies.The system uses monocular camera to acquire omni-d...A new scene recognition system was presented based on fuzzy logic and hidden Markov model(HMM)that can be applied in mine rescue robot localization during emergencies.The system uses monocular camera to acquire omni-directional images of the mine environment where the robot locates.By adopting center-surround difference method,the salient local image regions are extracted from the images as natural landmarks.These landmarks are organized by using HMM to represent the scene where the robot is,and fuzzy logic strategy is used to match the scene and landmark.By this way,the localization problem,which is the scene recognition problem in the system,can be converted into the evaluation problem of HMM.The contributions of these skills make the system have the ability to deal with changes in scale,2D rotation and viewpoint.The results of experiments also prove that the system has higher ratio of recognition and localization in both static and dynamic mine environments.展开更多
基金Project(60234030)supported by the National Natural Science Foundation of ChinaProject(A1420060159)supported by the BasicResearch Program of the 11th Five-Year-Plan of China
文摘A new scene recognition system was presented based on fuzzy logic and hidden Markov model(HMM)that can be applied in mine rescue robot localization during emergencies.The system uses monocular camera to acquire omni-directional images of the mine environment where the robot locates.By adopting center-surround difference method,the salient local image regions are extracted from the images as natural landmarks.These landmarks are organized by using HMM to represent the scene where the robot is,and fuzzy logic strategy is used to match the scene and landmark.By this way,the localization problem,which is the scene recognition problem in the system,can be converted into the evaluation problem of HMM.The contributions of these skills make the system have the ability to deal with changes in scale,2D rotation and viewpoint.The results of experiments also prove that the system has higher ratio of recognition and localization in both static and dynamic mine environments.
