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Videos taken in the wild sometimes contain unexpected rain streaks, which brings difficulty in subsequent video processing tasks. Rain streak removal in a video (RSRV) is thus an important issue and has been attracting much attention in computer vision. Different from previous RSRV methods formulating rain streaks as a deterministic message, this work first encodes the rains in a stochastic manner,...
This paper reports an image-based localization for automated vehicle. The proposed method utilizes a mono-camera and a low-cost velocity and inertial sensor to estimate the vehicle pose. Image template matching is applied to provide a correlation distribution between the captured image and a vector structured digital map. A probability of the vehicle pose is then updated using the obtained correlation...
Depth from focus is a highly accessible method to estimate the 3D structure of everyday scenes. Today’s DSLR and mobile cameras facilitate the easy capture of multiple focused images of a scene. Focus measures (FMs) that estimate the amount of focus at each pixel form the basis of depth-from-focus methods. Several FMs have been proposed in the past and new ones will emerge in the future, each with...
Motion analysis and tracking often relies on multimodal signals, e.g., video, depth map, motion capture (MoCap), due to the completeness of information they jointly provide. The joint analysis of multimodal signals requires to know the correct timing, i.e., the signals to be aligned. In this paper we propose an approach to automatically estimate the correct matching and alignment between a video and...
The main purpose of this paper is to develop a system for the early diagnosis and detection of abnormalities of any patient during gait cycle. A malfunction in the gait cycle leads to pain, and undesirable effects on the bones of the legs due to large forces exerted on specific areas. The gait cycle is divided into two main phases, the stance that is characterized as the contact of the right leg with...
A monocular vision detection system was designed for multipoint pulse signals detection. The system consists of three parts. The first is pulse image acquisition device, which is used to collect dynamic pulse images. The second is multipoint pulse signals extraction algorithm that is using suitable digital image processing methods to process the collected pulse image sequence, and adopting monocular...
In this paper, we propose the first higher frame rate video dataset (called Need for Speed - NfS) and benchmark for visual object tracking. The dataset consists of 100 videos (380K frames) captured with now commonly available higher frame rate (240 FPS) cameras from real world scenarios. All frames are annotated with axis aligned bounding boxes and all sequences are manually labelled with nine visual...
Image-guided navigation is an important component of the orthognathic assisted robot, and it allows the robots to operate in precise accordance with a preoperative virtual plan. However, the present commercially available image-guided navigation systems, which use infrared-based tracking, cant guide the relocation of the bone in the orthognathic operation, that means they are not suitable for orthognathic...
Two types of information exist in a stereo pair: correlation (matching) and decorrelation (half-occlusion). Vision science has shown that both types of information are used in the visual cortex, and that people can perceive depth even when correlation cues are absent or very weak, a capability that remains absent from most computational stereo systems. As a step toward stereo algorithms that are more...
A non-contact measurement method for estimating blood pressure using video pulse waves has been developed. During fluctuation in blood pressure caused by respiratory arrest, the video pulse waves were measured by using a video camera to calculate the pulse transit time difference (PTTD) from a proximal part to a distal part with respect to the heart. Blood pressure was estimated by a multivariate...
Respiratory rate during sleep is one of the important vital sign for home healthcare. Therefore, noncontact respiration monitoring method during sleep without uncomfortable feelings caused by sensor-insertion is needed. The purpose of this study is to develop the noncontact respiration monitoring method during sleep using only low priced web-camera. The innovative point is to adopt the bed cover with...
The paper presents the way of operation of a Vision-Based Navigation (VBN) system based on the Scene Matching Area Correlation (SMAC) algorithm and demonstrates its applicability for highly autonomous navigation of Unmanned Aerial Vehicles (UAVs). Chosen simulation results included in the paper show that the algorithm proposed by the authors works properly in ideal conditions and demonstrate its acceptable...
Computer programs used for three-dimensional visualizations of phenomena occurring within the electromagnetic field do not have built-in diagnostic tools allowing to verify the quality of the obtained view. The image presented during the simulation may contain a variety of artifacts. The anomaly most often identified in three-dimensional images is vertical disparity. Detection of the above mentioned...
Elevators are the means that people often use in everyday life. From the past until nowadays many elevators have been used in many areas. Elevator systems with the formation of high-rise buildings in recent years has become more important. Early diagnosis of faults that may occur in the elevator system is very important. In this study, an approach has been proposed to monitor and detect faults on...
Numerous image matching methods for wide range of applications have been invented in the last decade. When high precision and reliability of the object space point coordinates is highly demanding, a stereo image matching method which can produce conjugate point of images and a standard deviation of the matched point is examined. In this approach, image gradients are used locally to seek a conjugate...
Unmanned Aerial Vehicle (UAV) imagery are being assessed for analyzing within field spatial variability for agricultural precision management, because unmanned aerial vehicle imagery may be acquired quickly during critical periods of rapid crop growth. The objective of this study was to evaluate the use of unmanned aerial vehicle for the monitoring barley growth. Unmanned aerial vehicle imagery obtained...
A 2D stochastic model of a phase-detection autofocus is proposed. A comprehensive analysis of its formal properties is conducted and its validity for a wide class of stochastic processes is proved. Moreover, formal properties of the phase-detection autofocus are analysed, together with assumptions necessary for its unimodality. Lastly, practical experiments, incorporating thermographic camera, which...
Rain streaks removal is an important issue of the outdoor vision system and has been recently investigated extensively. In this paper, we propose a novel tensor based video rain streaks removal approach by fully considering the discriminatively intrinsic characteristics of rain streaks and clean videos, which needs neither rain detection nor time-consuming dictionary learning stage. In specific, on...
Efficient estimation of depth from pairs of stereo images is one of the core problems in computer vision. We efficiently solve the specialized problem of stereo matching under active illumination using a new learning-based algorithm. This type of active stereo i.e. stereo matching where scene texture is augmented by an active light projector is proving compelling for designing depth cameras, largely...
Tracking-by-detection has become a popular tracking paradigm in recent years. Due to the fact that detections within this framework are regarded as points in the tracking process, it brings data association ambiguities, especially in crowded scenarios. To cope with this issue, we extended the multiple hypothesis tracking approach by incorporating a novel enhancing detection model that included detection-scene...
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