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In industry and research, big data applications are gaining a lot of traction and space. Surveillance videos contribute significantly to big unlabelled data. The aim of visual surveillance is to understand and determine object behavior. It includes static and moving object detection, as well as video tracking to comprehend scene events. Object detection algorithms may be used to identify items in...
In recent years, people detection and face recognition technology developed quickly, including people detection part there is considerable room for development. People detection can be used in vehicle auxiliary systems or monitoring systems to identify people by the camera to capture the image. However, the people detection accuracy and running speed is also a very important part, so this study presents...
Web-based laboratories are promising to save the cost required to setup a hands-on laboratory in schools. There are several basic experiments in physics which help the students understand the basics of classical physics. However, the rising cost of laboratory infrastructure and costly equipment to conduct these experiments make it difficult for schools, in developing countries like India to build...
In the recent years, object detection and tracking has become an integral part of various applications such as Surveillance system, Vehicle navigation, and autonomous robot navigation. Especially in the field of surveillance system it has gained greater significance than ever before due to the recent terror activities taking place all over the world. Many efforts have been made to make the system...
Object detection has been attracting much interest due to the wide spectrum of applications that use it. Object detection technology has been driven by an increasing processing power available in software and hardware. In this work we present a developed application for multiple objects detection based on OpenCV libraries. The complexity-related aspects that were considered in the object detection...
"Recognition of traffic signs" is a mobile application, which is used for recognition of traffic signs. The relevance of this theme is proved with the fact that we don't have analogs of this program, which will help the drivers to see and recognize traffic signs and enables drivers to remember signs by the way. Also this program will be useful for those people, who want to learn traffic...
This paper presents a VLIW-SIMD processor based scalable architecture with Data Flow Control (DC) Engine and Classifier Evaluation (CE) Engine for parallel classifier node computation to accelerate the object detection algorithm for embedded applications. The popular algorithm is developed by Viola and Jones [1] with Haar - like features. The architecture has 4-slot very long instruction word (VLIW)...
This article deals with the object detecting methods used for the eye detection. At first is described the Haar feature-based cascade classifier object detector. Further is described the developed eye detection system working on the embedded platform and the implementation of this object detector in the OpenCV library. Finally is described proposed realized implementation in the ARM based development...
The purpose of this paper is to propose a method to abstract and classify vehicle data collected from vision sensors into road scenarios. The classified scenarios can be played back on specialized hardware designed to handle these scenarios to characterize its performance. Since the majority of existing automotive computer vision systems mandate real-time results, this study aims to introduce the...
With the development of video surveillance gradually from the traditional security surveillance to intelligent surveillance, in order to find an intelligent surveillance model to facilitate the implementation and promotion, we present a method, performing the moving object detection by using OpenCV based on DirectShow framework, which will make intelligent surveillance come true consequently. In this...
In intelligent vehicle systems, lane detection is one of the most important parts. This paper presents a lane detection algorithm that based on Hough transform. Principle of the algorithm and the implementation base on OpenCV are discussed in detail. The algorithm was verified at the end of this paper.
The background identification methods are used in many fields like video surveillance and traffic monitoring. In this paper we propose a hardware implementation of the Gaussian Mixture Model algorithm able to perform background identification on HD images. The proposed circuit is based on the OpenCV implementation, particularly suited to improve the initial background learning phase. Bit-width has...
Based on the principle of parallax of binocular visual system, three-dimensional of target is acquired by a lot of images. One identification technique for three-dimensional (3D) target is proposed in this paper. The characteristic information of target is extracted and reconstructed after images which are collected in OpenCV are pre-processed; Finally, based on Support Vector Machine package, the...
Behavior determination and multiple object tracking for video surveillance are two of the most active fields of machine vision. We describe our system, which we are developing for applications in tele-assistance for the elderly, as an early warning monitor for anomalous events. Our system is based upon the computer vision library OpenCV. In this article we describe the algorithms we have developed...
Tracking moving targets in sequence images is an essential key technology and one of the hot research topics in Computer Vision. This system is based on an embedded system platform named Embedded Star and makes full use of the OpenCV (Intel?? open-source computer vision library)to implement and optimize the Mean Shift tracking algorithm. At last, it achieves the objective of real-time tracking and...
A vehicle detection algorithm was proposed based on the morphology and wavelet transform, in the context of the traditional difference. First, the background model was established, using statistical means of the rapid sequence. As background to transform the impact of light obviously, the corresponding easy and quick to update the background algorithm was used. Using the background of the video images...
To realize the real-time tracking of the shoot point from light pen, we choose Camshift tracking algorithm, but it is difficult to track the point with dynamic and complicated background and in case that there is similar color with the shoot point from light pen. So, an improved method is proposed. Firstly, a red filter which weakens the effect of background, and makes the object prominent is introduced...
The purpose of this research is to develop techniques that enable robots to choose and track a desired person for interaction in daily-life environments. Therefore, localizing multiple moving sounds and human faces is necessary so that robots can locate a desired person. For sound source localization, we used a cross-power spectrum phase analysis (CSP) method and showed that CSP can localize sound...
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