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In this paper, we study the problem of Cross-View Person Identification (CVPI), which aims at identifying the same person from temporally synchronized videos taken by different wearable cameras. Our basic idea is to utilize the human motion consistency for CVPI, where human motion can be computed by optical flow. However, optical flow is view-variant - the same person's optical flow in different videos...
Person Re-identification (re-id) aims to match people across non-overlapping camera views in a public space. It is a challenging problem because many people captured in surveillance videos wear similar clothes. Consequently, the differences in their appearance are often subtle and only detectable at the right location and scales. Existing re-id models, particularly the recently proposed deep learning...
In the paper, we present ViViSnoop, a novel video-assisted keystroke inference attack which snoops the victim user's typed input without visually seeing it. Instead, it infers the typed input from the vibration extracted from the video capturing the desk where the physical or virtual keyboard is placed. ViViSnoop is built on the fact that keystrokes on the desk incur mechanical vibrations which are...
A life log is a record of human life and behavior as digital data. In recent years, it has become possible to collect easily life logs by wearable devices. There is reflection of information as one of usage of these life logs. Among them, reflection by images is easy to understand. However, when recording for a long time by automatic photographing, the number of images becomes enormous, and it is...
Person re-identification is a topic which has potential to be used for applications within forensics, flow analysis and queue monitoring. It is the process of matching persons across two or more camera views, most often by extracting colour and texture based hand-crafted features, to identify similar persons. Because of challenges regarding changes in lighting between views, occlusion or even privacy...
According to the increase in the number of elderly people living alone, nursing care systems for such people have become much more important than ever. This paper focuses its attention on the detection of abnormal motions such as falling of the elderly by use of a camera settled in a room. Although there are several human motion representation and recognition methods, they all deal with the motions...
This paper describes a novel system for automating data collection and surveying in a retail store using mobile robots. The manpower cost for surveying and monitoring the shelves in retail stores are high, because of which these activities are not repeated frequently causing reduced customer satisfaction and loss of revenue. Further, the accuracy of data collected may be improved by avoiding human...
Gesture represents a non-verbal means of communication between people. It comes from poses or movements performed by the human body. Nowadays, hand gestures are the new modality for human and computer interaction. In real-time applications based on hand gestures, the main challenge is to detect the hand(s). In this paper, we present and analyze existing approaches for real-time hand detection. Then,...
This paper describes a face recognition-based people tracking and re-identification system for RGB-D camera networks. The system tracks people and learns their faces online to keep track of their identities even if they move out from the camera's field of view once. For robust people re-identification, the system exploits the combination of a deep neural network- based face representation and a Bayesian...
Practically, today most mobile devices, such as robots require to have ability to determine their pose (location and orientation) from low-cost sensors with high accuracy. This paper presents a novel fusion method to determine the pose estimation of an autonomous mobile robot using inertial sensors and a camera. Speeded up robust features (SURF) is used as a visual algorithm to detect natural landmarks...
Object detection and classification are two very important tasks for quality control in industrial process. The first step of a quality algorithm is the detection of the moving object. Afterwards, the detected object is classified according to its size and color related properties. In this study, an interactive image segmentation method is proposed to detect a moving object. The segmentation method...
Intelligent Intersection Traffic Management has become increasingly important because of the need to reduce congestion and improve the overall travel experience of commuters. Given the dynamic nature of everyday city traffic, this paper proposes real-time processing of videos from cameras to estimate the traffic density and optimize the signal parameters of the intersection. The region-of-interest...
Machine vision systems are used in industrial production areas to produce products with fast, perfect and high precision. These systems allow users to make highly accurate and non-contact measurements and can detect deficiencies in the production process. In this work, a machine vision based non-contact defect detection algorithm for printed circuit boards (PCBs) has been developed. In this approach,...
Since the parking resources become more and more intense, how to make effective management of parking spaces has become a topic for the intelligent transportation system. Compared with the infrared detection and the sensing coil detection, the video analysis method has the advantages of saving hardware cost, easy installation and extending other functions and so on. The algorithms of analyzing location...
This paper assesses the estimation of the orientation of a camera rigidly attached to a vehicle body using vanishing points and then uses the estimated rotation to rectify images for navigation in indoor environments. The approach is facilitated by the fact that many indoor environments are rich in vertical and horizontal lines that are used for detecting vanishing points. The performance of the monocular-based...
The system proposed in this paper is an innovative biometrie authentication platform for access control applications based face recognition. The vision system is based multisensor fusion combining catadioptric sensor (calibrated with a field of view of 360°) and a Pan Tilt Zoom camera (PTZ). It is able to detect and track moving objects with a high zoom level. The recognition process is based on detection...
In this paper, we address the problems of camera pose estimation accuracy and runtime efficiency by incorporating an elite selection method and a voting system to a conventional visual odometry (VO) method, called the “enhanced VO algorithm”. The use of elite selection method improves the efficiency of perspective-3-point (P3P) algorithm by only employing an elite subset of landmarks to estimate the...
To prevent counterfeit face image on face presence system, we can use dual vision camera in face recognition system. Dual vision camera is used to produce detectable face images from two positions of the left lens and the right lens. Image retrieval at the two corners of the left lens and the right lens can produce a merged face image database of left lens face image and right lens face image. The...
To quickly and efficiently analyze a large-scale environment by the camera with limited field-of-view, intelligent systems should sequentially select the optimal field-of-view to observe an important and informative patch of area. Especially in the image retrieval task, small observations should be sequentially selected to increase the performance of image retrieval and the updated performance can...
Visual Simultaneous Localization and Mapping (VSLAM) requires feature detection on visual data. In indoor scenes that include architectures such as plain walls and doors, there are no or less corners detected, in such cases tracking will be lost. To overcome this situation we track different types of features that help in feature extraction even in textureless scenes. Line features are used to get...
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