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This paper presents a novel approach to background subtraction which aims to extract moving objects in video stream. To this end, a novel background model is proposed by using both working backgrounds and candidate backgrounds, which can be transferred to each other according to an adaptive mechanism. The input image (video frame) is compared and evaluated with these dual-class backgrounds (DCB) to...
Obstacle detection and tracking is essential module for autonomous driving. Vision based obstacle detection and tracking faces huge challenges due to factors like cluttered background, partial occlusion, inconsistent illumination, etc. In this paper, we propose a robust and low complexity stereo-vision based obstacle detection and tracking framework. Low complexity techniques are employed to detect...
With the advancement and use of low cost cameras, video-based remote vital-monitoring technologies have drawn more and more attention. However, many of the previously proposed techniques rely on the assumption that the video is acquired under well-controlled conditions. There has been no study reported around how various acquisition factors and/or noise will affect the estimation accuracy. In this...
Image contains repetitive patterns always cause the point ambiguity, which makes the local descriptors less discriminative. The descriptor which is combined scale-invariant feature transform (SIFT) with the global context (GC) is used to solve the problem widely. But this descriptor is invalid when the variation of viewpoint is large. In this paper, an affine invariant matching method for image contains...
Change detection in aerial images is the core of many remote sensing applications to analyze the dynamics of a wide area on the ground. In this paper, a remote sensing method is proposed based on viewpoint transformation and a modified Kendall rank correlation measure to detect changes in oblique aerial images. First, the different viewpoints of the aerial images are compromised and then, a local...
We address the problem of extracting human body posture labels, upper body orientation and the spatial location of individual body parts from near-infrared (NIR) images depicting patterns of retro-reflective markers. The analyzed patterns originate from the observation of humans equipped with protective high-visibility garments that represent common safety equipment in the industrial sector. Exploiting...
Early detection of abnormality in image of skin is now considered the crucial contributor for successful treatment. We explored how constructing a sparse neighborhood net of pixels and distinction of patches in the image feature analysis play a role for diagnostic ability of lesion segmentation. Since image patches are considered like circumstance of many factors including skin tone, skin aberrations...
One of the key challenges of remote sharing systems based on camera-projector pairs is the visual echo problem. However, existing visual echo cancellation schemes are either too theoretical or hardware-dependent to deploy for common use in arbitrary systems. Therefore, we present a simple and practical visual echo cancellation scheme. Experimental results shows that our system exhibits performance...
We present an algorithm for robust and real-time visual tracking under challenging illumination conditions characterized by poor lighting as well as sudden and drastic changes in illumination. Robustness is achieved by adapting illumination-invariant binary descriptors to dense image alignment using the Lucas and Kanade algorithm. The proposed adaptation preserves the Hamming distance under least-squares...
This paper presents background removal methods to increase the accuracy of saliency-based person re-identification. After evaluating the current global salience algorithm, we found that wrong matching appears when (1) images of different people have a similar or the same background and/or (2) salience on the backgrounds of various images are similar. To prove the maximum theoretical accuracy of the...
Object localization is a powerful technique to analyze certain features on particular objects for either general or specific purpose(s). To localize object within image frames, the background subtraction scheme is generally implemented as an unequivocal technique that pre-processes die corresponding input frame. Nevertheless, despite the prior developments and applications of various techniques for...
Visual tracking is one of the hot research topics in computer vision in recent years. It has been widely used in many vision applications, such as traffic surveillance, anti-terrorism. However, there are still challenges for visual tracking, like illumination change, object occlusion, appearance deformation, etc. This paper proposes a robust point detection algorithm based on wavelet transform for...
The Census transform is very useful in stereo matching algorithms. But the traditional Census transform cost too much computation, and its accuracy and robustness are not satisfying. In this paper, a modified semi-global matching (SGM) algorithm based on the fast Census transform is proposed to improve the quality of the range map and decrease the computation. In addition, we modify the disparity...
We propose a framework for Threat Image Projection (TIP) in cargo transmission X-ray imagery. The method exploits the approximately multiplicative nature of X-ray imagery to extract a library of threat items. These items can then be projected into real cargo. We show using experimental data that there is no significant qualitative or quantitative difference between real threat images and TIP images...
The last research efforts made in the face recognition community have been focusing in improving the robustness of systems under different variability conditions like change of pose, expression, illumination, low resolution and occlusions. Occlusions are also a manner of evading identification, which is commonly used when committing crimes or thefts. In this work we propose an approach based on the...
In this work we focused on the application aspect of object tracking for pan-tilt-zoom (PTZ) camera using ordinary webcam mounted on custom made motor-assembly and found that our system is not only robust to illumination conditions but also cost-effective in comparison with PTZ cameras. For object tracking we utilized Fast Compressive Tracking (FCT) algorithm because of its attractive features e.g...
We investigate various metals for their robustness against damage caused by strong THz field. Even though the damage process is not of a thermal nature we observe a correlation between robustness and the melting temperature. Influence of the substrate material on the damage pattern is also studied.
Person re-identification in camera network, with non-overlapping fields of view based on descriptive features is an important task in surveillance systems. In general, the person re-identification aims to recognize an individual through different pictures by measuring the similarity between two individuals.
This paper proposes a new method for robust 3D object tracking from a single RGB image when an object model is available. The proposed method is based on image alignment between consecutive frames over a 3D target object. Different from conventional methods that only rely on image intensity for the alignment, we model intensity variations using the surface normal of the object. From this model, we...
Localizing the user from a feature database of a scene is a basic and necessary step for presentation of localized augmented reality (AR) content. Commonly such database depicts a single appearance of the scene, due to time and effort required to prepare it. To account for appearance changes under different lighting we propose to generate the feature database from a simulated appearance of the scene...
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