General purpose graphic processing unit (GPGPU) provides high performance resource for computing. CUDA (Compute Unified Device Architecture) and OpenCL (Open Computing Language) permit writing of parallel computing programs that utilize multiple central processing units (CPU) and GPGPUs. The image processing library, OpenCV (Open Source Computer Vision library), may benefit greatly from paralle...

As part of the National Security Engineering Institute (NSEI) project, several sensors were developed in conjunction with an assessment algorithm. A camera system was developed inhouse to track the locations of personnel within a secure room. In addition, a commercial, offthe-shelf (COTS) tracking system developed by TYZX was examined. TYZX is a Bay Area start-up that has developed its own trac...

Automatic License Plate Recognition system is a real time embedded system which automatically recognizes the license plate of vehicles. There are many applications ranging from complex security systems to common areas and from parking admission to urban traffic control. Automatic license plate recognition (ALPR) has complex characteristics due to diverse effects such as of light and speed. Most...

Monitoring and observation of moving vehicles is beneficial for the analysis of traffic flow and cognition of other events. For identifying motion from the video feed, the system applies adaptive background subtraction using the OpenCV library for obtaining the threshold images containing blobs which represent moving vehicles. Applying certain operations on the blobs, the speed, class and numbe...

Determining camera calibration parameters is an essential step in most computer vision endeavors; it is a time-consuming task despite the availability of calibration algorithms and software. A set of point correspondences between points on the calibration target and the camera image(s) must be found, usually a manual or manually guided process. Two commonly used calibration tools are implementa...

Classification or rating of images according to their aesthetic quality has applications in areas such as image search, compression and photography. It requires the construction of features that are predictive of the aesthetic quality of an image. Constructing features manually for aesthetics prediction is challenging. We propose an approach to improve on manually designed features by construct...