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This paper deals with the video surveillance problem in static camera. The aim is to design a moving object detection system based on advanced CPU DM6437. After capturing the pictures according to the timing, the background model is established without the objects and the background information is real-time updated due to the changes of the environment. After that, background subtraction is used so...
Human detection in video streams is an important task in many applications including video surveillance. Surprisingly, only few papers have been devoted to this topic.
An algorithm was proposed to remove the moving shadow in video surveillance. This method gets the moving objects from motion detection in first, in which removal shadow on invariable features of colors and local texture, then gets rid of the change suddenly pixels in edge of shadow. Experiments show that having a strong ability to adapt to different scenes, the algorithm retains the integrity of the...
In recent years, there has been increased interest in characterizing and extracting 3D information from video sequences for object tracking and identification. In this paper, we propose a single view-based framework for robust estimation of height and position. In this work, 2D features of a target object is back-projected into the 3D scene space where its coordinate system is given by a rectangular...
In this paper, we propose an effective four-stage approach that detects fire automatically. The proposed algorithm is composed of four stages. In the first stage, an approximate median method is used to detect moving regions. In the second stage, a fuzzy c-means (FCM) algorithm based on the color of fire is used to select candidate fire regions from these moving regions. In the third stage, a discrete...
The H.264/AVC intra-frame codec is widely used to compress image/video data for applications like Digital Still Camera (DSC), Digital Video Camera (DVC), Television Studio Broadcast, and Surveillance video. Intra-prediction is one of the top 3 compute-intensive processing functions in the H.264/AVC baseline decoder and, therefore, consumes significant number of compute cycles a processor. In this...
This work describes a method for accurately tracking persons in indoor surveillance video stream obtained from a static camera with difficult scene properties including illumination changes and solves the major occlusion problem. First, moving objects are precisely extracted by determining its motion, for further processing. The scene illumination changes are averaged to obtain the accurate moving...
Real-time object tracking is recently becoming more and more important in the field of video analysis and processing. Applications like traffic-control, user-computer interaction, online video processing and production and video surveillance need reliable and economically affordable video tracking tools. This paper presents a new method for object tracking with improved efficiency by reducing the...
Object tracking is a paramount task in video surveillance systems. Although many efforts have been accomplished on object tracking during the last years more work is still needed in order to generate more robust systems. A new fuzzy method for object tracking is presented in this paper. The proposed method is composed of two Sugeno type systems with weighted average memory output functions. One of...
Processing Real-Time image sequence is now possible because of advancement of technological developments in digital signal processing, wide-band communication, and high-performance VLSI. With the developments in video technology, the surveillance system can be built with some low cost gadget such as the web-camera. In this modern life with increasing number of crime rate, people in society need for...
Segmentation of moving objects in an image sequence is one of the most fundamental and crucial steps in visual surveillance applications. This paper proposes a novel and efficient method for detecting moving objects in a noisy background by using a growing self organizing map to construct the codebook. The segmentation process distinguishes between those parts of the objects which move on static and...
A compact video processing system which deals with video detecting, compressing and recording is designed on DSP. And in order to find a balance among hardware resources (prime cost), processing speed, detecting performance, system stability and system reliability, further algorithm and processing mechanism optimizations are proposed. This system does automatic surveillance of an unattended area installed...
The connected component labeling is an essential task for detecting moving objects and tracking them in video surveillance application. Since tracking algorithms are designed for real-time applications, efficiencies of the underlying algorithms become critical. In this paper we present a new one-pass algorithm for computing minimal binding rectangles of all the connected components of background foreground...
In surveillance and environmental monitoring applications, it is common to have millions of images of a particular scene. While there exist tools to find particular events, anomalies, human actions and behaviors, there has been little investigation of tools which allow more exploratory searches in the data. This paper proposes modifications to PCA that enable users to quickly recompute low-rank decompositions...
Detecting people carrying objects is a commonly formulated problem as a first step to monitor interactions between people and objects. Recent work relies on a precise foreground object segmentation, which is often difficult to achieve in video surveillance sequences due to a bad contrast of the foreground objects with the scene background, abrupt changing light conditions and small camera vibrations...
Designing static object detection systems that are able to incorporate user interaction conveys a great benefit in many surveillance applications, since some correctly detected static objects can be considered to have no interest by a human operator. Interactive systems allow the user to include these decisions into the system, making automated surveillance systems more attractive and comfortable...
An algorithm for robust motion detection in video is proposed in this work. The algorithm continuously analyses the dense pixel volume formed by the current frame and its nearest neighbours in time. By assuming continuity of motion in space and time, pixels on slanted edges in this timespace pixel volume are considered to be in motion. This is in contrast to prevailing foreground-background models...
Detecting static objects in video sequences has a high relevance in many surveillance scenarios like airports and railwaystations. In this paper we propose a system for the detection of static objects in crowded scenes that, based on the detection of two background models learning at different rates, classifies pixels with the help of a finite-state machine. The background is modelled by two mixtures...
This paper presents an adaptive background update method for waves extraction based on the physical properties of tide. Most of the previous background subtraction methods based on analysis of regional connectivity detect a wave period using a static background templates or a feature set of moving objects. However, random wave in such tide videos are not extracted well. In this paper, we assume that...
In this paper, we present a novel intelligent control system for rat navigation based on video tracking and state machine techniques. And we demonstrate the automatic navigation of a rat to follow a preset course. The system consists of these components: (1) a wireless backpack stimulator comprised of stimulating circuit, control processor and bluetooth transceivers, (2) a video camera device capturing...
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