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Take the flying ping-pong ball as an example, this paper focuses on 3D localization of moving object based on a high-speed and high-precision vision system. The vision system is composed of two stereo pairs, and each pair stares at half of the table. The advantage of the system is that: it can redouble the precision while covering the same field of vision. In order to obtain the 3D positions of the...
We study the problem of robust human detection. In this paper, a new descriptor, Pyramidal Statistics of Oriented Filtering (PSOF), is proposed for human shape representation. Unlike traditional one-scale gradient-based methods, the PSOF descriptor utilizes a Gabor filter bank to obtain multi-scale pixel-level orientation information and makes use of locally normalized pyramidal statistics of these...
In order to eliminate vehicle shadow in moving vehicle detection, a novel vehicle shadow elimination approach is presented based on mark growing of multi-feature fusion. The selection of mark points and the establishment of growing rules are critical. Firstly, background model is obtained by mixture Gaussian method. Then gradient difference of foreground and background is calculated. Morphological...
In this paper we present a novel combined tracking algorithm based on moving object detection technology. Particle filtering can work well when the object gets an occlusion, it has difficulty in satisfying the requirement of real-time computing. Meanshift can solve this problem easily, it has poor rubustness during mutual occlusion. In the meantime, because backgrounds of many scenes include complex...
It is an intriguing challenge that insects can catch small moving targets amidst the clutter and moving scene accurately by the compound eye system which is with limited resolution. Especially when the velocity of the target is matched to the background, insect can also detect and catch it. Inspired by the neural mechanism of compound eye, this paper proposed a bio-inspired nonlinear self-adaptive...
This paper proposes a novel method for rapid and robust human detection and tracking based on the omega-shape features of people's head-shoulder parts. There are two modules in this method. In the first module, a Viola-Jones type classifier and a local HOG (Histograms of Oriented Gradients) feature based AdaBoost classifier are combined to detect head-shoulders rapidly and effectively. Then, in the...
Speed and precision are important for object detection algorithms. In this paper, a novel object detection algorithm based on color histogram and adaptive bandwidth mean shift is proposed. The algorithm is capable of detecting objects rapidly and precisely. It is composed of two stages: a rough detection stage and a precise detection stage. At the rough detection stage, histogram back projection and...
Calculation of surface temperature was the first and important step in ground target infrared feature analysis and simulation. Focus on it, this paper analyzed the factors which effect the ground target surface temperature based on the limit of finite difference in building target surface temperature field and integrated the theory of calorifics and infrared physics. Meanwhile, the building target...
We study the problem of robust pedestrian detection. A new descriptor, Pyramidal Statistics of Oriented Filtering (PSOF), is proposed for shape representation. Unlike one-scale gradient-based methods, the PSOF descriptor constructs an image pyramid and uses a Gabor filter bank to obtain multi-scale pixel-level orientation information. Then, locally normalized pyramidal statistics of these Gabor responses...
This paper proposes a novel method to address the problem of estimating the number of people in surveillance scenes with people gathering and waiting. The proposed method combines a MID (mosaic image difference) based foreground segmentation algorithm and a HOG (histograms of oriented gradients) based head-shoulder detection algorithm to provide an accurate estimation of people counts in the observed...
We address the problem of 3D model based vehicle localization in calibrated traffic scenes. A wire-frame vehicle model is set up as prior information and an efficient local gradient based method is proposed to evaluate the fitness between the projection of 3D model and image data, which illustrates smooth optimization surface and more conspicuous peak with low computational cost. Gradient decent is...
Most outdoor visual surveillance scenes involve objects of interest moving on the ground plane. However, perspective distortion introduces many difficulties to various applications like object classification and activity recognition. In this paper, we propose a robust automated method for both affine and metric rectification of the ground plane based on appearance and motion of vehicles in traffic...
Camera calibration, as a fundamental issue in computer vision, is indispensable in many visual surveillance applications. Firstly, calibrated camera can help to deal with perspective distortion of object appearance on image plane. Secondly, calibrated camera makes it possible to recover metrics from images which are robust to scene or view angle changes. In addition, with calibrated cameras, we can...
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