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With the fast development of Geographic Information Systems, visual global localization has gained a lot of attention due to the low price of a camera and the practical implications. In this paper, we leverage Google Street View and a monocular camera to develop a refined and continuous positioning in urban environments: namely a topological visual place recognition and then a 6 DoF pose estimation...
This paper presents a metric global localization in the urban environment only with a monocular camera and the Google Street View database. We fully leverage the abundant sources from the Street View and benefits from its topo-metric structure to build a coarse-to-fine positioning, namely a topological place recognition process and then a metric pose estimation by local bundle adjustment. Our method...
Microsoft Kinect cameras provide a fast and convenient way to acquire depth information. However, the interference problem of multiple Kinect cameras dramatically degrades the depth quality. In this paper, we study the interference problem and propose an interference cancelation approach based on the statistical properties of depth maps. The gradient values are investigated and propagated from the...
We present a distributed framework of understanding, indexing, and searching complex events from large amounts of surveillance video content. Video events and relationships between scene entities are represented by Spatio-Temporal And-Or Graphs (ST-AOG) and inferred in a distributed computing system using a bottom-up top-down strategy. We propose a method for sub-graph indexing of ST-AOGs of the recognized...
View synthesis technology generates virtual views for display and high quality virtual view is of significantimportance to free-viewpoint TV (FTV) and three dimensional video(3DV). This paper proposes a novel virtual view synthesis method in multi-view system based on multi-view plus depth. Firstly, we project two reference depth maps to the intermediate virtual view and rectify the two candidate...
There is an increasing demand for detecting complex events from heterogeneous sensor networks to support the Global War On Terror (GWOT). This paper presents a framework addressing several vital aspects of a multimodal complex event detection system for wide area surveillance. The paper discusses the key modules for an effective system including complex event specification, cross-camera tracking for...
A new stabilization algorithm is presented, which can solve the problem of the translational and large rotational motion between image sequences simultaneously. Based on corner point detection, matching strategy featured point-to-multipoint is presented. And a new parameter extraction algorithm is deduced. The algorithm has made a breakthrough to the limit of most of the previous algorithms' capability...
Moving targets detection is one of the most important research subjects in video processing. This paper proposes a convex combination detection model, which uses the horizontal deviation and vertical deviation to magnify the difference between the target and background based on the grey scale model. We analyses the theoretical feasibility of the model, and then extract the targets from background...
Aim at the detecting one-dimensional bar-code in nowdays of real - time need, designing a low cost and moderate function image processing system. The acquisition and processing of image are the key components of the system. The system uses S3C2440, which installs Linux, as the core with circuit realize image processing function, multi - communication interface constitute image transmission channels...
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