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Moving objects detection in dynamic scenes is a challenging task in many computer vision applications. Traditional background modeling methods do not work well in these situations since they assume a nearly static background. In this paper, a novel operator named spatial extended center-symmetric local binary pattern (SCS-LBP) for background modeling is proposed. It extracts spatial and temporal information...
In this paper we propose a technique to determine the decision thresholds in multi-bit distributed detection. Detection thresholds are required to quantize the acquired information from the environment to send them to a fusion center. In multi-bit detection, decision making is complicated and in most cases, methods based on simulation or Person by Person Optimizations are applied to find the thresholds...
This paper presents a novel depth recovery technique of bifocus imaging system which may produce two focus images by independent focal lengths. Depth information can be extracted from the disparity between two focus images. This paper will propose the depth recovery formula and related algorithms such as feature extraction, sub-pixel matching, and center estimation. Experiments on real scene images...
Detection and analysis of trajectories are effective for providing services to pedestrians in public spaces. We have proposed a method to detect moving objects from a monocular image sequence with a normal mixture model. However, the method cannot accommodate a changing number of moving objects. As described herein, to overcome this shortcoming, we proposed two algorithms for counting number of moving...
Lane recognition is a function which is needed for a variety of driver assistance systems. For example lane departure warning and lane keeping rely on information provided by a lane estimation algorithm. One important step of the lane estimation procedure is the extraction of measurements or detections which can be used to estimate the shape of the road or lane. These detections are generated by white...
This paper presents a novel approach for an online initial camera calibration to estimate the extrinsic parameters for vision-based intelligent driver assistance systems. The method uses the periodicity of dashed lane markings and velocity information to determine the extrinsic camera parameters: height, pitch and roll angle. A lane marking detector is utilized to convert the images of road scenes...
In a conventional traffic lights controller, the lights either change at constant cycle times or at times proportional to the length of each leg of the intersection. Such approaches clearly are not perfect for optimizing traffic flow. Waiting times proportional to lane length may work well for a single-lane road but when roads with multiple lanes are considered the solution would not be optimal. The...
To develop better image change detection algorithms, new models able to capture all the spatio-temporal regularities and geometries seen in an image pair are needed. In contrast to the usual pixel-wise methods, we propose a patch-based formulation for modeling semi-local interactions and detecting occlusions and other local or regional changes in an image pair. To this end, the image redundancy property...
Airborne or satellite hyperspectral sensing has proven valuable in many target detection applications, thanks to the dense spectral sampling of the sensed data, which provides a high material discriminability. Within this framework, this paper focuses on detection algorithms that rely upon subspace-based characterization of background. Whereas background subspace estimation has been typically accomplished...
Real-time efficient video analytics (VA) for surveillance system requires ldquoin-camerardquo or ldquoat camera edgerdquo decision-making. Video Analytics is required to work on good resolution footage in order to register tiny but important information that may otherwise be lost during subsequent compression process, especially in temporally exploited streams. This paper presents a novel approach...
Many research works have been carried out to measure and use a driver's gaze directions to prevent traffic accidents caused by inattentive driving, neglect to confirm safe conditions, and other driver errors. A calibration process is needed to measure correct gaze directions for a gaze tracking system. However, existing calibration methods require a driver to gaze at specified points before driving...
Because they have neither well defined shapes nor well defined behaviors, detecting, tracking and classifying pedestrians in a dense urban environment from a moving vehicle remains a difficult task. This is especially true when people are standing or walking very close from one another. Indeed, because of occlusions, pedestrians are then usually very difficult to discriminate and several pedestrians...
Video-based information collection has become an important research direction, and moving object tracking technique plays a key role nowadays. The classic corner tracking algorithm doesnpsilat meet the real-time requirement, and loses the object mostly due to occlusions, the change of geometrical scale or/and some similar objects approaching to the object. To solve the problems, a new algorithm based...
We propose an approach to overcome the two main challenges of 3D multiview object detection and localization: The variation of object features due to changes in the viewpoint and the variation in the size and aspect ratio of the object. Our approach proceeds in three steps. Given an initial bounding box of fixed size, we first refine its aspect ratio and size. We can then predict the viewing angle,...
This paper proposes a novel approach to advertisement evaluation using automatic salient regions. The salient regions are detected using a predicting model, in which the estimation are obtained by the space variant foveated image. The saliency is defined as the difference between the input image and its estimation. Then an advertisement is determined as attractive if the detected salient regions are...
In this work, we describe a new technique for detecting image composites by enforcing two-view geometrical constrains: H and F constraints on image pairs, where H denotes the planar homography matrix and F the fundamental matrix. Our approach detects fake regions efficiently on pictures taken at the same scene but with different camera configurations. Performance of this approach is demonstrated on...
This paper presents a novel self-similarity based approach for the problem of vanishing point estimation in man-made scenes. A vanishing point (VP) is the convergence point of a pencil (a concurrent line set), that is a perspective projection of a corresponding parallel line set in the scene. Unlike traditional VP detection that relies on extraction and grouping of individual straight lines, our approach...
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conducted manually, which is both labor-intensive and error-prone. To improve this process, this paper proposes a new approach to estimate a set of landmarks for a large image ensemble with only a small number of manually labeled...
Polymerase Chain Reaction (PCR) is a technique which relies on a polymerase enzyme to amplify a short DNA sequence (target analyte) by replicating it through a series of thermal cycles. Determining the initial number of target analytes is often the goal of quantitative PCR (QPCR). QPCR is used in several applications including detection and quantification of nucleic acids, viral load detection, and...
Robust ego-motion estimation in urban environments is a key prerequisite for making a robot truly autonomous, but is not easily achievable as there are two motions involved: the motions of moving objects and the motion of the robot itself. We proposed a random sample consensus (RANSAC) based ego-motion estimator to deal with highly dynamic environments using one planar laser scanner. Instead of directly...
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