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In this paper, we generated an activity recognition model using an ANN and trained it using Backpropagation learning. We considered a sandwich making scenario and identified the hand-motion-based activities of reaching, sprinkling, spreading and cutting. The contribution of this paper is twofold: First, given the fact that many image processing steps like feature identification are computation intensive...
To meet the performance requirements of real-time and high accuracy for autonomous docking of modular self-reconfigurable CubeSats, a vision-based method is proposed by setting a cooperative target on a CubeSat and combining with Fractional-Order Darwinian Particle Swarm Optimization algorithm. Firstly, a monocular camera is utilized to grab images of the cooperation target. Then an image intelligent...
The seed germination test is an important process for successful farming. This process is time-consumed and needed to be done by an expert. In this paper, the image processing method is applied to measure a germination rate. The proposed method used a digital camera to capture the rice image, the root and seed sections are segmented using the HSV color model. The seed that has root attached is considered...
In this paper, we propose a novel moving-objects detection method which, in contrast to state-of-the-art moving-objects detection methods, takes static feature points into consideration during detection. It benefits both the tracking and mapping approaches in real-time Simultaneous Localization and Mapping (SLAM) system whose localization depends on static objects primarily. Our method obtains accurate...
Due to the need of indoor emergency rescue for earthquake disasters, we propose the iPOST (Indoor Post-Earthquake Corridor Obstacle Assessment System) to determine the obstacles in the corridors after earthquakes. Before an earthquake hits, a pre-earthquake image is used to segment its corresponding floor area for determining the presence of obstacles. After an earthquake, the pre-earthquake and post-earthquake...
Aerial imagery applications have gained a great interest especially in the area of comprehensive ground activities analysis. One of the key tasks in such applications is moving objects segmentation. Although many efforts have been presented in the literature that claim high true object detection rates, they still suffer from high false positive rates. This paper focuses on maintaining a high true...
This paper describes iris biometric matching performed using the iris pictures captured by the standard visible spectrum smart phone cameras from the MICHE II database. Our method uses a combination of a popular iris code approach and a periocular biometric based on the Multi-Block Transitional Local Binary Patterns. The authentication scores are calculated separately, and the results are combined...
In human interaction, understanding human behaviors is a challenging problem in todays world. Action recognition has become a very important topic in detecting the emotional activity with many fundamental applications, such as in robotics, video surveillance, human-computer interaction. In this paper, we are proposing a system that uses semantic rules to define emotional activities. First, we apply...
Glare is a hardware problem that occurs because of the light trapped in the lens elements. It is a common problem faced in photography when trying to capture image of a scene having bright source in it or taken in a very bright environment. Glare can hide useful information in the image, can make foreground objects blurry and deformed. In this paper, we propose a novel method to detect glare, mainly...
We present a method to reconstruct the three-dimensional shape of a moving instance of a known object category in video data. We exploit state-of-the-art semantic segmentation techniques to extract the object's two-dimensional shape in each frame. Therefore, our method is robust to occlusion, handles stationary objects and extends naturally to multiple video sequences. We apply Structure from Motion...
Object Counting and Tracking are an integral part of computer-aided surveillance intelligence. In this paper, we propose an Object Counting algorithm based on region segmentation and a tracking method that works on the Kalman Filter to predict the next state of a moving object. We considered people, moving under an overhead camera as our primary targets. As a pre-processing step, we extracted foreground...
High dynamic range (HDR) imaging is highly demanded in computer vision algorithms. An HDR image is composed with several low dynamic range (LDR) images, which usually have some disparities. In many HDR imaging algorithms, the disparities are estimated based on the texture information of the LDR images. However, the texture information is often lost completely if scenes include extremely bright and...
Recognition of dominant planes is an important task used in areas such as robot navigation, augmented reality, 3D reconstruction, among others. There are several approaches for recognizing planar structures, however, most of these approaches are based on processing two or more images captured from different camera views or on processing 3D data in the form of point clouds associated with the camera...
A workflow is proposed for Cultural Heritage applications in which the fusion of 3D and 2D visual data is required. Using data acquired by cheap, standard devices, like a 3D scanner having a low quality 2D camera in it, and a high resolution DSLR camera, one can produce high quality color calibrated 3D model for documenting purpose. The proposed processing workflow combines a novel region based calibration...
We propose a multiscale extension of a well-known line segment detector, LSD. We show that its multiscale nature makes it much less prone to over-segmentation, more robust to low contrast and less sensitive to noise, while keeping the parameterless advantage of LSD and still being fast. Moreover, we show that in scenes with little or no feature points, but where it is however possible to perform structure...
When a planar structure is observed from multiple views, the projections of its corresponding 3D points on each image are related by a homography. Its estimation is a key step in many computer vision tasks where either the rigid motion between views or a per-pixel image correspondence is sought. The vast majority of multi-view homography estimation techniques relies on matching a sparse set of point-to-point...
A novel geometric tool set, composed of coupled line cameras (CLC) and coupled line projectors (CLP), is introduced for application in rectangular projection mapping. Recently, CLC has been comprehensively investigated and it gives a new insight as a geometric computer vision tool. Given an unknown scene rectangle and an uncalibrated camera, CLC provides analytic solutions to determine the aspect...
In order to fast register a camera into a 3D scene model under the Manhattan-World assumption, a method of matching corresponding 2D and 3D lines based on vanishing point is proposed in this paper. Firstly, this method detects line segments and estimates three orthogonal vanishing points to determine the local length of camera and the matrix from world to camera space. Afterwards, one line is drawn...
Defects in apples cause food safety concerns touching the general public and strongly affect the commodity market. Due to the increasing incidence, the detection of bruises is a challenge now a day's especially when the bruises are not visible externally. Infrared imaging provides an important window for detection of bruises that are not visible externally. The study has been investigated on the infrared...
In this paper, we propose an instrumentation and computer vision pipeline that allows automatic object detection on images taken from multiple experimental set ups. We demonstrate the approach by autonomously counting intoxicated flies in the FLORIDA assay. The assay measures the effect of ethanol exposure onto the ability of a vinegar fly Drosophila melanogaster to right itself. The analysis consists...
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