Cooperative Distributed Image Understanding Systems

在这项研究中，我们认为合作分布式处理（多智能体系统）作为一个系统架构，实现强大的和灵活的图像理解系统，并证明其有效性，通过开发实际的合作分布式图像理解系统。研究结果如下：1.用于图像理解的协作分布式处理的类型被分类为以下类别：（a）分布式传感系统（B）分布式分析系统（（B-1）功能分布（B-2）算法分布（B-3）协作空间推理）.一个多智能体区域分割系统，其中每个图像区域被视为一个agent 3。一个固定视点的云台摄像机来获取全向图像和摄像机校准软件来模拟一个现成的主动摄像机作为一个固定视点的云台变焦摄像机4。一个使用固定视点的云台变焦摄像机的真实的实时目标检测和跟踪系统5.多个分布式固定视点云台变焦摄像机协同目标跟踪系统6.一个合作的分布式行为识别从多个视频数据7.一种由一组分布式观测站组成的广域目标跟踪系统

In this study we consider the cooperative distributed processing (multi-agent system) as a system architecture to realize robust and flexible image understanding systems, and demonstrate its effectiveness by developing practical cooperative distributed image understanding systems. The results of the study can be summarized as follow :1. The types of cooperative distributed processing for image understanding are classified into the following categories : (a) Distributed Sensing Systems (b) Distributed Analysis Systems ((b-1) Functional Distribution (b-2) Algorithm Distribution (b-3) Cooperative Spatial Reasoning).2. A multi-agent region segmentation system, where each image region is regarded as an agent3. A fixed viewpoint pan-tilt camera to acquire ominidirectional images and a camera calibration software to model an off-the-shelf active camera as a fixed viewpoint pan-tilt-zoom camera4. A real time object detection and tracking system using a fixed viewpoint pan-tilt-zoom camera5. A cooperative object tracking system with multiple distributed fixed viewpoint pan-tilt-zoom cameras6. A cooperative distributed behavior recognition from multiple video data7. A wide area object tracking system consisting a group of distributed observation stations without common visual fields