|Total results: 1,375||
|Video Surveillance Techniques and Technologies
Security video surveillance systems, such as homeland security and national defense, rely on specific mathematical algorithms in order to run effectively. It is essential for these parameters to be understood in order to design and create a successful system.
Video Surveillance Techniques and...
Illumination Independent Moving Object Detection Algorithm
A new, simple, fast, and effective method for moving object detection to an outdoor environment, invariant to extreme illumination changes, is presented as an improvement to the shading model method. It is based on an analytical parameter introduced in the shading model, background updating technique...
Improved Illumination Independent Moving Object Detection Algorithm
A real time change detection technique is proposed in order to detect the moving objects in a real image sequence. The described method is independent of the illumination of the analyzed scene. It is based on a comparison of corresponding pixels that belong to different frames and combines time and...
Application of Improved Illumination Invariance Algorithm in Building Detection
The problem of edge-based classification of natural video sequences containing buildings and captured under changing lighting conditions is addressed. The introduced approach is derived from two empiric observations: In static regions the likelihood of finding features that match the patterns of...
Multimedia Supported Intelligent Video Surveillance System
An integrated multimedia supported intelligent video surveillance system is proposed. The system alleviates the disadvantages of the existing video-surveillance kits and provides advanced search, notification, visualization, and alarming functionality through integration of artificial intelligence...
Improved Spatial-Temporal Moving Object Detection Method Resistant to Noise
The resistance of the improved moving objects detection algorithm to various types of additive and multiplicative noise is discussed. The algorithm’s first phase contains the noise suppression filter based on spatiotemporal blocks including dimensionality reduction technique for a compact scalar...
Classification of Building Images in Video Sequences
A technique for detection of building images in real-world video sequences is presented. The proposed technique uses information extracted from video features to improve precision in classification results. It combines fuzzy rule-based classification with a method for changing region detection in...
Shape Recognition Methods Used for Complex Polygonal Shape Recognition
Two new algorithms, optimal and sub-optimal solution algorithm, for shape recognition using geometric calculations are proposed. They are mode-based, which means that shape from the data base which is considered as a model is compared with another shape extracted from the sequence of images, such as...
Algorithms for ISAR Image Recognition and Classification
Two different novel methods for classification of aircraft categories of Inverse Synthetic Aperture Radar (ISAR) images are presented. The first method forms numerical equivalents to shape, size, and other aircraft features as critical criteria to constitute the algorithm for their correct...
Algorithm for Automated Iris Recognition Using Biorthogonal Wavelets
A comparative study of ability of two novel image retrieval algorithms to provide automated touch-free identification of persons by iris recognition is presented. Namely, applied biorthogonal wavelet methods and the SVD-Free Latent Semantic method are analyzed. Moreover, in case of the applied...
Algorithm for Petro-Graphic Color Image Segmentation Used in Oil Exploration
A new heuristic algorithm for porosity segmentation for the colored petro-graphic images is proposed. The proposed algorithm automatically detects the porosities that represent the presence of oil, gas, or even water in the analyzed thin section rock segment based on the colour of the porosity area...
Automatic Object Classification and Image Retrieval by Sobel Edge Detection
A comparative study of ability of the proposed novel image retrieval algorithms is performed to provide automated object classification invariant of rotation, translation, and scaling. Simple cosine similarity coefficient methods are analyzed. Considering applied cosine similarity coefficient methods...
Video System Overview
This chapter is a description of the technology with which we can: capture an image, transform the image to the video signal format, transmit this signal to a remote location’s receiver, display the image on a monitor, and save the image and print it for preservation.
High Definition Television (HDTV) and Video Surveillance
High definition television is becoming ever more popular, opening up the market to new high-definition technologies. Image quality and color fidelity have experienced improvements faster than ever. The video surveillance market has been affected by high definition television demand. Since video...
New Video Technologies
Industry experts are predicting that the advancement of video security technology will lead to a general increase in demand for surveillance systems. Over the next ten years these technological advances will continue, improving existing equipment and generating new methods. This chapter outlines...
Video Surveillance System Design
A video surveillance system design requires making decisions that demand knowledge of basic options and the rationale for selecting from different ones available on the market. One needs to face making the following key decisions: choosing the best video surveillance companies, camera types, camera...
The very first element in the video surveillance system is the device that captures the images, which is the camera. This is a very important chapter in the book as it discusses the concepts of analog and digital cameras, its various designs, and camera specifications. Proper camera choice as well as...
IP Video Surveillance System
The chapter is a summary of IP surveillance systems: basic functions, the advantages of network video, customizing surveillance applications, and possible legal concerns. The most important step one can take before installing IP surveillance system is to define goals and requirements. Once these are...
The first five sections represent the foundation and offer various intelligent algorithms that are the basics for motion detectors and their realization. There are two classes of security system alarm triggers: physical motion sensor and visual motion sensors. Both analog motion detectors and digital...
Video Surveillance System Applications
The fact that video surveillance is such an effective system especially when one thinks of its widespread use attests to its low investment cost. This chapter contains information about design guidelines, hardware information, specific examples, and necessary parameters to be addressed while designing...