Robust object detection using context and component information

航空/空间遥控器目前获取了大量的光电监视数据，具有多光谱、多时相、地理参考数据，并显著增加了空间、光谱！和辐射分辨率。高分辨率的航空图像可以提取关于地面物体的3D信息。对于大规模图像库来说，人工处理这些数据以进行图像配准和融合、环境变化识别和目标检测可能既耗时又不一致。由于多媒体采集、存储、传输、可视化和交互技术的快速发展，民用数字图书馆中存在着类似的问题，这些数字图书馆包含了大量的多媒体和数据库中的可视数据。该方案包括两个相关的项目：上下文驱动的监视和基于组件的三维目标检测，解决了空中监视中的两个基本问题：在哪里搜索和如何检测目标。将使用新的Beamlet变换来研究上下文驱动的注意力聚焦，该变换搜索感兴趣的对象和神经网络，并支持向量机进行上下文操作。3D目标的检测将从不变特征和分量特征提取以及使用同步定位和地图构建技术的高度信息估计方面进行研究。拟议的研究将向三个合作伙伴提供内部报告、出版物和有效的软件：加拿大国防研究和发展公司(DRDC)Valcartier、光电监视数据开发集团和洛克希德-马丁加拿大公司(Lockheed-Martin Canada)。拟议研究的目的是获取、发展和产生关于航空/空间光电图像监视和三维物体探测的最先进技术的新知识和专门知识。

Aerial/space remote sensors acquire overwhelming amount of data at the present time for opto-electronic surveillance with multi-spectrum, multi-temporal, georeference data and significantly increased spatial, spectra! and radiometric resolutions. High-resolution aerial images permit to extract 3D information on the grounded objects. Manually processing those data for image registration and fusion, environmental change identification and object detection could be time-consuming and inconsistent for the large-scale image bank. The similar problematic exists in the civil digital libraries, which contain huge amount of visual data in the multimedia and database, thanks to rapid growth in the multimedia acquisition, storage, transmission, visualization, and interaction technologies.The proposal consists of two related projects: context-driven surveillance and component-based 3D object detection, addressing two of the basic problems in aerial surveillance: where to search and how to detect the objects. Context-driven focusing of attention will be studied using the new beamlet transform, which searches for object-of-interest and the neural networks and support vecotr machines for context operations. Detection of 3D object will be studied in terms of invariant feature and component feature extraction and of height information estimation using simultaneous localization and map building techniques.The proposed research will deliver internal reports, publications and effective software to the three partners: Defense Research and Development Canada (DRDC) Valcartier, Optronic Surveillance Data Exploitation Group and Lockheed-Martin Canada (LM). The objective of the proposed research is to acquire, develop and generate new knowledge and expertise on the state-of-the art technologies in the aerial/space electro-optic image surveillance and 3D object detection.