Image Acquisition System based on Synchronized High Resolution Gigabit Ethernet Cameras

Over the last few years, the huge rise in various computer vision applications canbe observed. They are widely used in such areas like video surveillance, medicaldiagnostics, biometrics recognition, the automotive or military industries. Mostof these solutions take advantage of high-resolution cameras in order to obtainhigh quality images. Surprisingly, little attention is paid in the literature tothe practical implementation of off-the-shelf image acquisition systems. Mostavailable solutions are composed of custom developed electronic devices whichuse specialized multi-core DSPs and / or FPGA technology. Therefore, in thispaper the novel realization of the scalable and comprehensive image acquisitionsystem based on synchronized high resolution Gigabit Ethernet camerasis presented. The proposed solution allows the connection of multiple camerastogether with any number of external illumination modules. Selected devicescan be synchronized with each other in user-defined configurations. Hence,designed solution can be easily integrated in both simple and complex applications.Authors describe in detail design and implementation processes of theproposed platform. The performance issues that can occur in such systems arepresented and discussed. Obtained results are encouraging and useful for thedevelopment of similar solutions

Vision-based detection and tracking of moving target in video surveillance

In this paper a real-time detection and tracking of moving targets is presented. The scheme involved four phases. Phase one: Object segmentation which used to identify the foreground objects from the background by using background subtraction based on temporal differencing and a rolling-average background model. Phase two: Object recognition used to identify the foreground objects that should be tracked by using simple blob detection. Phase three: Object representation which takes the outcome from phase two. It computes the representation of each recognized object to be tracked. Phase 4: Object tracking that used Kalman filter. The results show that the tracking system is capable of target shape recovery and therefore it can successfully track targets with varying distance from camera or while the camera is zoomin

Image acquisition system based on synchronized high-resolution gigabit ethernet cameras

Over the past few years, a huge increase in the number of various computer vision applications can be observed. These are widely used in such areas as video surveillance, medical diagnostics, biometrics recognition, and the automotive and military industries. Most of these solutions take advantage of high-resolution cameras in order to obtain high-quality images. Surprisingly, little attention is paid in the literature to the practical implementation of off- the-shelf image acquisition systems. Most of the available solutions are composed of custom-developed electronic devices that use specialized multi-core DSPs and/or FPGA technology. Therefore, a novel realization of a scalable and comprehensive image acquisition system based on synchronized high-resolution Gigabit Ethernet cameras is presented in this paper. The proposed solution allows for the connection of multiple cameras along with any number of external illumination modules. The selected devices can be synchronized with each other in user-defined configurations; hence, a designed solution can be easily integrated in both simple and complex applications. The authors describe the design and implementation processes of the proposed platform in detail. The performance issues that can occur in such systems are presented and discussed. The obtained results are encouraging and useful for the development of similar solutions

Image acquisition system based on synchronized high-resolution gigabit ethernet cameras

Over the past few years, a huge increase in the number of various computer vision applications can be observed. These are widely used in such areas as video surveillance, medical diagnostics, biometrics recognition, and the automotive and military industries. Most of these solutions take advantage of high-resolution cameras in order to obtain high-quality images. Surprisingly, little attention is paid in the literature to the practical implementation of off- the-shelf image acquisition systems. Most of the available solutions are composed of custom-developed electronic devices that use specialized multi-core DSPs and/or FPGA technology. Therefore, a novel realization of a scalable and comprehensive image acquisition system based on synchronized high-resolution Gigabit Ethernet cameras is presented in this paper. The proposed solution allows for the connection of multiple cameras along with any number of external illumination modules. The selected devices can be synchronized with each other in user-defined configurations; hence, a designed solution can be easily integrated in both simple and complex applications. The authors describe the design and implementation processes of the proposed platform in detail. The performance issues that can occur in such systems are presented and discussed. The obtained results are encouraging and useful for the development of similar solutions