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Existing detection methods of abnormal movements focus on model construction and similarity identification of objects in the images. The result of detection is not satisfactory when the number of individuals in the detection area is very large. A new method is proposed to solve such difficulties by analyzing the vehicle environment and passenger groups. Firstly, human head is segmented and extracted...
In this paper we present a method for prediction and trajectory tracking of a set of vehicles operating in a port. The objective is to enable the prediction of risk situations in order to avoid collisions. The system is designed for high traffic areas located in ports or civil engineering projects, environments in which traffic occurs without structured lanes of movement. While many studies have been...
Measurement of seed area is an important trait in studies of developmental physiology. However, direct measurement of this feature is difficult, not very precise and most of the time is destructive. The objective of the study presented in this paper is to develop a computer vision technique to determine the projected area of a seed for quality seed selection, irrespective of how the image is distorted...
Synthesizing new images from given image pair and their corresponding depth maps is an essential function for many 3D video applications. Exemplar-based in painting methods have been proposed in recent years to be used to restore newly synthesized images by strategically filling the missing pixels which don't have any references due to occlusion. Due to the prioritized filling process, the in painting...
Recently, several methods for foreground segmentation from moving camera have been proposed. A trajectory-based method is one of typical approaches to segment video frames into foreground and background regions. The method obtains long term trajectories from entire of video frame and segments them by learning pixel or motion based object features. However, it often needs large amount of computational...
It is important for security surveillance systems to operate continuously for 24 hours. During the night, use of far-infrared cameras is preferable in outdoor situations due to a number of reasons. However, the person in the image is often unrecognizable. This paper attempts to estimate the face from his/her far-infrared image. The estimation is done through two phases, a holistic estimation and a...
This paper describes a portable, rapidly deployed, system to to locate a ball used in a robotic soccer competition. The system consists of 4 Nikon S800C cameras running a computer vision application and a centralized server running Linux. Each of the cameras calculates an angle from the center-line of the image to the ball and forwards this information to the server. The centralized server updates...
FDK reconstruction algorithm is the most widely used for Cone Beam CT imaging system due to its simplicity and fast implementation. However, if misalignments exist in the detector, the original FDK reconstruction algorithm will result in deteriorated reconstruction quality because of the wrong correspondence of the voxels from the object and the pixels from the projection. One way is to apply rotation-based...
Blade tip clearance of wind turbines is a critical operating parameter to prevent catastrophic failures caused by blade striking the tower. There are studies to estimate tip clearance in real time using a physics model. Yet, an accurate tip clearance measurement is highly desired to calibrate the physics model. In this paper, a high-speed camera based portable system for blade tip clearance measurement...
This paper proposes a lower latency implementation of the georegistration algorithm proposed by [5]. The algorithm has been modified to mitigate the registration errors and has been parallelized to map to a Graphical Processor Unit (GPU). Also, the target image offset and the painting value computations have been combined to a single loop to eliminate the use of shared memory. Modifications to a current...
Recent simulations of multispectral sensors are based on a simple Gaussian model, which includes filters transmittance and substrate absorption. In this paper we want to make the distinction between these two layers. We discuss the balance of energy by channel in multispectral solid state sensors and propose an updated simple Gaussian model to simulate multispectral sensors. Results are based on simulation...
Disorders associated with repeated trauma account for about 60% of all occupational illnesses, being Carpal Tunnel Syndrome (CTS), the most consulted today. Infrared Thermography (IT) has come to play an important role in the field of medicine, where diseases are detected by temperature variations. In this paper we present the extraction of temperature variations in space and time from hands of healthy...
Few topics in image processing have been as extensively studied as stereo correspondence, these algorithms can be divided into two categories, local and global, depending on how the processing is done in the image. A stereo correspondence algorithm is called local if operate on sections of the images and global this treatment is performed on the entire images. In local algorithms specifically, this...
Soccer video processing and analysis to find critical events such as occurrences of goal event have been one of the important issues and topics of active researches in recent years. In this paper, a new role-based framework is proposed for goal event detection in which the semantic structure of soccer game is used. Usually after a goal scene, the audiences' and reporters' sound intensity is increased,...
Visual sensors, active or passive, play an important role in computer vision and in visual sensors, calibration is of utmost importance. Kinect as a new developed sensor for use as a Natural User Interface is being utilized in different fields especially CV. This integrated system beside other sensors, contains two visual sensors of active and passive that demands a process of calibration. Among different...
We propose a novel method for detecting and enhancing specular highlights from a video sequence, thereby obtaining a better visual perception of the specularity. To this end, we first generate a specularity map, defined over the space-time domain, by leveraging information provided by the temporal acquisition. We then amplify the highlights in each video frame to create the visual sensation of high...
Digital videos often suffer from undesirable camera jitters because of unstable camera motions. In this paper we present a novel video stabilization algorithm by mixed L1–L2 optimization, aiming at removing unwanted camera movements as well as keeping the original video information to the greatest extent. In the proposed algorithm, we compute smoothed camera paths that are composed of constant, linear...
The problem of time to contact or time to collision (TTC) estimation is largely discussed in perspective images. However, a few works have dealt with images of catadioptric sensors despite of their utility in robotics applications. The objective of this paper is to develop a novel model for estimating TTC with catadioptric images relative to a planar surface, and to demonstrate that TTC can be estimated...
We present a method for restoring the recordings obtained from surveillance cameras whose quality deteriorates due to dirt or water that gathers on the camera's lens. The method is designed to operate in the surveillance setting and makes use of good quality frames from the beginning of the recorded sequence to remove the blur at later stages caused by the dirty lens. A background subtraction method...
Existing single image defogging techniques can restore contrast loss and yield a rough estimate of the depth map of a scene. The ubiquity of hand-held imaging devices has attracted considerable attention to motion blur but this has not been addressed in the context of images captured under foggy conditions. In this paper, we show how to restore foggy motion-blurred images using depth cues derived...
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