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Video surveillance system is widely adopted in order to secure life. This paper presents embedded home surveillance systems to detect intruder in home environment. Proposed system works on embedded Linux board which is equipped with an ordinary web camera. At software level, it uses Open Computer Vision library to detect intruder in two different steps, Histogram of Oriented Gradient and Haar Like...
Fall detection plays a significant role in the medical care of elderly people. As reported, falling is the main cause leading to the death of the elderly over the age of 65. Recently, video-based fall detection methods have been widely used, with the progress of intelligent video analysis. In this study, we presents a novel method to detect the fall with a position-fixed RGB camera. Our method consists...
Given a user wearing a low frame rate wearable camera during a day, this work aims to automatically detect the moments when the user gets engaged into a social interaction solely by reviewing the automatically captured photos by the worn camera. The proposed method, inspired by the sociological concept of F-formation, exploits distance and orientation of the appearing individuals -with respect to...
the objective of this work is to compute the Time-to-Collision (TTC) of surrounding vehicles of a vehicle using motion information in driving video. The key advantage in this work is the extraction of potential danger without vehicle detection and recognition in prior, but directly from the motion divergence in the video. We analyze the trace expansion both horizontally and vertically condensed in...
Person re-identification (Re-ID) maintains a global identity for an individual while he moves along a large area covered by multiple cameras. Re-ID enables a multi-camera monitoring of individual activity that is critical for surveillance systems. However, the low-resolution images combined with the different poses, illumination conditions and camera viewpoints make person Re-ID a challenging problem...
Light signal recognition is one of the key issues in autonomous vehicle. Unlike normal object detection and recognition, which can be done by using different sensors, light signal recognition is naturally a computer vision problem. Although commercialized ADAS (Advanced Driving Assistance System) products, such as mobileye, could be used for rear-end collision warning, a cost-effective approach is...
The development of automatic nutrition diaries, which would allow to keep track objectively of everything we eat, could enable a whole new world of possibilities for people concerned about their nutrition patterns. With this purpose, in this paper we propose the first method for simultaneous food localization and recognition. Our method is based on two main steps, which consist in, first, produce...
Robotics has impacted many domains and industries. Robotics in education has been of particular interest to researchers and educationalists through the past decade. Various studies have confirmed that robots have had a positive impact on teaching skills in various subjects. In this paper, we develop and discuss a prototype for a robot language tutor. We use various vision techniques for behavior analysis...
In this paper, we propose an instrumentation and computer vision pipeline that allows automatic object detection on images taken from multiple experimental set ups. We demonstrate the approach by autonomously counting intoxicated flies in the FLORIDA assay. The assay measures the effect of ethanol exposure onto the ability of a vinegar fly Drosophila melanogaster to right itself. The analysis consists...
In this paper, a monocular vision navigation algorithm using optical flow with Principal Direction Screen Strategy is proposed. Firstly, we present an optical flow extraction and adjusting method based on Speed-up robust features (SURF), which makes the distribution of optical flow vectors more well-distributed and increases the accuracy of optical flow. Secondly, we constructive a complete ego-motion...
This document describes a system to gather information from a stationary camera to identify moving objects. The proposed solution makes only use of motion vectors between adjacent frames, obtained from any algorithm. Starting from them, the system is able to retrieve clusters of moving objects in a scene acquired by an image sensor device. Since all the system is only based on optical flow, it is...
Over the last decade, there have been many studies that focus on modeling driver behavior, and in particular detecting and overcoming driver distraction in an effort to reduce accidents caused by driver negligence. Such studies assume that the entire onus of avoiding accidents are on the driver alone. In this study, we adopt a different stance and study the behavior of pedestrians instead. In particular,...
This paper presents the implementation of a new boarding strategy that exploits passenger and hand-luggage detection and classification to reduce the boarding time onto an airplane. A vision system has the main purpose of providing passengers data, in terms of agility coefficient and hand-luggage size to a seat assignment algorithm. The software is able to dynamically generate the passenger seat that...
In recent years, there has been an interest in detailed monitoring of road traffic, particularly in intersections, in order to obtain a statistical model of the flow of vehicles through them. These models aid in the optimization of traffic management and allow for smarter transportation systems. While conventional methods sensors at each of the intersections entrances/exits allow for counting, are...
In the field of indoor robot navigation, sensing the environment and building the map are two major topics. There are many approaches have been used for obtaining the distance between the robot and the object. In this paper, we use the technology of computer vision to extract the laser feature. Based on this technology, a SOC-based Lidar is designed and implemented in this paper. This module includes...
Human can recognize an object just by looking at the environment, this capability is very useful for designing the reference of humanoid robot with the ability of adapting it on its environment. By knowing the field conditions that exist in such environments, robot can understand the obstacles or anything that can be passed. To do that, robot vision needs to have a knowledge to understanding an obstacles...
Human action recognition is a way of retrieving videos emerged from Content Based Video Retrieval (CBVR).It is a growing area of research in the field of computer vision nowadays. Human action recognition has gained popularity because of its wide applicability in automatic retrieval of videos of particular action using visual features. The most common stages for action recognition includes: object...
This paper makes research on two schemes of autonomous vision-based absolute navigation for Unmanned Aerial Vehicle (UAV): the Imaging Position of Landmark/Altimeter/IMU (IPLAI) based navigation, and the Imaging Position of Landmark/Optical Flow/Altimeter/IMU (IPLOFAI) based navigation. Firstly, the models of two autonomous vision-based absolute navigation systems are established. Secondly, the observability...
In this paper we evaluate the performance of CNN in regards to face recognition for real world applications. In recent years, many high performance deep neural networks have been proposed to the face recognition world. These deep networks were trained by images provided by the internet, and they commonly are of good quality when facial expression and posture are not particularly complex. However,...
This paper discusses the use of image processing technique to detect lizards in a video stream. We discuss the categorization of form perception, human perception, and animal perception. The sub-categories of them are briefly discussed. We defragmented the video into a total of 3459 images, some are with only background scene, some contains lizard. We discuss how we apply background subtraction to...
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