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One of the most important challenging issues in visual surveillance systems is about detecting moving objects from video sequences captured by an active camera. In contrast to the other proposed methods which are focused on fixed cameras, approaches based on moving cameras are more complex, because making a distinction between moving object and background is difficult. Thus, detecting moving objects...
This paper concerns the problem of automated panoramic image stitching. Though the rotation and zoom are studied, the quantity of extracted features limit the result. Previous approaches have used human input to establish matching images. In this work, we use ASIFT features to find matches between images. Because of this our method is insensitive to the transition and noise images, we can achieve...
This paper presents a novel 2D-TO-3D conversion approach from a monoscopic 2D image sequence. We propose a particle filter framework for recursive recovery of point-wise depth from feature correspondences matched through image sequences. We formulate a novel 2D dynamics model for recursive depth estimation with the combination of camera model, structure model and translation model. The proposed method...
Pedestrian detection systems are valuable in a variety of applications such as in advanced driver assistance systems and advanced robots. This study presents a pedestrian detection system that uses Histogram of Oriented Gradients (HOG) as feature descriptor, and AdaBoost and Linear Support Vector Machines (SVM) as classifiers. The entire system is tested and evaluated in both publicly available databases...
In this work, a Visual Odometry system estimating camera position and orientation based solely on image meausurements is proposed. The system is built on the fundamentals of Structure from Motion theory, requiring only a single calibrated camera to estimate positional information. Experiments were conducted on publicly available datasets with associated Ground Truth, in which a consumer grade web...
The first gait-based person-verification system that can analyze the gait for forensic science is presented. There are many security cameras set in many places, and gait image sequences can be extracted from the images taken by the cameras. The gait can provide information for identity determination in forensic science; however, the limitation of gait-based person authentication is that the analysis...
Camera-based gait recognition is a useful method for authenticating a person from a distance, even if the resolution of the acquired images is not high. However, different views of the compared gallery and probe decrease the recognition accuracy. To solve this problem, we propose a gait based authentication method that uses an arbitrary view transformation scheme. The proposed method constructs a...
This paper proposes a novel fully-automatic method for recognizing various parking slot markings in image sequences acquired by an Around View Monitor (AVM) system which is gaining popularity as a parking-aid product. The proposed method utilizes an approach which finds parking slots in AVM image sequences using a simple detector and combines sequentially acquired slots rather than using a sophisticated...
The paper puts forward that conducting lens boundary detecting by putting image-based time-space module features into application. The method firstly constructs a large number of time-space modules, namely, it detects lens boundary through calculating special vector of pixel in each time-space module, transferring the vector into a 3x3 matrix, and judging whether the matrix has answers or not. Identical...
Current approaches for 3D reconstruction from feature points of images are classed as sparse and dense techniques. However, the sparse approaches are insufficient for surface reconstruction since only sparsely distributed feature points are presented. Further, existing dense reconstruction approaches require pre-calibrated camera orientation, which limits the applicability and flexibility. This paper...
Hand gesture has become a powerful means for human-computer interaction. Traditional gesture recognition just consider hand trajectory. For some specific applications, such as virtual reality, more natural gestures are needed, which are complex and contain movement in 3-D space. In this paper, we introduce an HMM-based method to recognize complex singlehand gestures. Gesture images are gained by a...
Driver assistance and safety systems are getting attention nowadays towards automatic navigation and safety. Optical flow as a motion estimation technique has got major roll in making these systems a reality. Towards this, in the current paper, the suitability of polar representation for optical flow estimation in such systems is demonstrated. Furthermore, the influence of individual regularization...
Early fire detection is crucial to minimise damage and save lives. Video surveillance smoke detectors do not suffer from transport delays and can cover large areas. The smoke detection on images is, however, a difficult problem due the variability of smoke density, lighting conditions, background clutter, and unstable patterns. In order to solve this problem, we propose a novel unsupervised object...
A scene-based nonuniformity correction method for infrared focal plane arrays based on multiframe registration has been undertaken in this paper. It is based on the estimation of global translation between several adjacent frames, and the resulting mean square error function is optimized using a least mean square (LMS) algorithm. The proposed method make use of the relation of adjacent frames sufficiently,...
Landslide is one of the major natural hazards, threatening human lives and properties. Real-time landslide monitoring is very important to disaster relief. In this paper, the effectiveness of real-time landslide monitoring method based on close-range photogrammetry is investigated in an on-campus landslide test site at Tongji University. Feature point tracking method using landslide image sequences...
In this paper, we propose a method for estimating the rotational velocity of a table tennis ball with Inverse Compositional Image Alignment, ICIA. Assuming orthogonal projection of the camera, we derive an update rule for the motion parameters. Because of the precomputation of the Hessian matrix in ICIA and the simplifying assumptions, the motion parameters estimation at each frame is very fast. We...
We propose a technique for removing the appearance of sensor dust in a focal stack image sequence captured with multiple focus settings. Our method is based on the key observation that sensor dust artifacts shift in image position with respect to focus setting, which allows scene information occluded by dust in one image to be inferred from other images in the focal stack. To deal with complications...
This paper proposes a method for estimating the human performance of pedestrian detectability from in-vehicle camera images in order to warn a driver of the positions of pedestrians in an appropriate timing. By introducing features related to visual search and motion of the target, the proposed method estimates the detectability of pedestrians accurately. Support Vector Regression (SVR) is used to...
In this paper, we present a new method to generate a 3D face model, based on both Data-Driven and Structure-from-Motion approach. Considering both 2D frontal face image constraint, 3D geometric constraint, and likelihood constraint, we are able to reconstruct subject's face model accurately, robustly, and automatically. Using our method, it is possible to create a 3D face model in 5.8 [sec] by only...
This paper presents a new stereo-motion approach for 3D scene reconstruction in dense and accurate form, that allows the cameras to be described by the full perspective model. Given a short and arbitrary motion of a stereo rig of camera, the projective depth of every image point can be recovered from the rank-four property of a matrix that comprises the image positions of the scene, and the associated...
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