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In this paper, we develop a modified differential Structure from Motion (SfM) algorithm that can estimate relative pose from two consecutive frames despite of Rolling Shutter (RS) artifacts. In particular, we show that under constant velocity assumption, the errors induced by the rolling shutter effect can be easily rectified by a linear scaling operation on each optical flow. We further propose a...
This paper considers the multi-camera motion segmentation problem using unsynchronized videos: given two video clips containing several moving objects, captured by unregistered, unsynchronized cameras with different viewpoints, our goal is to assign features to moving objects in the scene. This problem challenges existing methods, due to the lack of registration information and correspondences across...
A large number of very popular team sports involve the act of one team trying to score a goal against the other. During this game play, defending players constantly try to predict the next move of the attackers to prevent them from scoring, whereas attackers constantly try to predict the next move of the defenders in order to defy them and score. Such behavior is a prime example of the general human...
Two types of information exist in a stereo pair: correlation (matching) and decorrelation (half-occlusion). Vision science has shown that both types of information are used in the visual cortex, and that people can perceive depth even when correlation cues are absent or very weak, a capability that remains absent from most computational stereo systems. As a step toward stereo algorithms that are more...
Augmented reality is popular and rapidly growing direction. It is successfully used in medicine, education, engineering and entertainment. In the paper, basic principles of typical augmented reality system are described. An efficient hybrid visual tracking algorithm is proposed. The approach is based on combining of the optical flow technique with direct tracking methods. It is demonstrated that developed...
Nowadays there is a big interest in applying natural gesture communication language to various systems. There are several techniques on how to detect willed hand motion or recognize gestures by using different kind of sensors. RGB cameras can be used to detect hand, but it has a limited application. For example, hand detection can be particularly hard in some lighting conditions or in different skin...
This paper presents an indirect user interface solution for an active walking aid using visual image sensing. The aim of the design is to track the movement of the human feet in order to obtain command signals for driving an active walker to be seen as a robotic rollator. The human gait becomes the input device by which the user controls the actuators of the robotic rollator. Computer vision techniques...
Provision of reliable traffic data could cause a reduction of the traffic problem. In a previous paper, the authors developed the core of RIMAC, an information system that allows the introduction of new and reliable sources of information from camcorders, traffic lights or mobile phones. With these new data sources, RIMAC is able to provide many more realistic reports. This paper describes the development...
Rail systems are one of the most important transportation methods used in today's world. The abnormalities that occur on railway tracks due to various causes result in breakdowns and accidents. For this reason, railway tracks must be periodically inspected. This study proposes a new approach for rail inspection. Today, the railway inspection process is generally performed using computer vision. But...
In nowadays situation, the security forms the most important section of our lives. Security of the house or the near and dear ones is important to everybody. Home automation is an exciting area for security applications. This field has enhanced with new technologies such Internet of things (IoT). In IoT, every gadget behaves as a little part of an internet node and every node interact and communicate...
A quadrotor Micro Aerial Vehicle (MAV) is designed to navigate a track using neural network approach to identify the direction of the path from a stream of monocular images received from a downward-facing camera mounted on the vehicle. Current autonomous MAVs mainly employ computer vision techniques based on image processing and feature tracking for vision-based navigation tasks. It requires expensive...
The process of matching local descriptors which are invariant to affine transformation is an interesting problem with many practical applications. Currently, many state-of-the-art approaches are robust to scale changes and in-plane rotations, but they are not dealing well with out-of-plane rotations. In order to solve this problem, we are proposing the method of simulated local deformations of the...
Experiments play a vital role in science education. In high school physics, especially in mechanics, many experiments are conducted where tracking a single or multiple objects are required. In most situations students visually observe the motion of objects and take the measurements. This manual method is time consuming, generates higher error and incapable of producing multiple readings rapidly. The...
The detection of persons from videos is particularly important in many computer vision contexts being an enabling technology for several relevant applications either for security and safety or for business intelligence purposes. The adoption of a depth sensor mounted in a top-view position is often used to achieve high person detection accuracy as it allows to cope effectively with occlusions and...
People with physical disability such as quadriplegics may need a device which assist their mobility. Smart wheelchair is developed based on conventional wheelchair and is also generally equipped with sensors, cameras and computer based system as main processing unit to be able to perform specific algorithm for the intelligent capabilities. We develop smart wheelchair system that facilitates obstacle...
People with impairment and having difficulties to walk, even impossible to move due to illness, injury, or disability need assistance tool. One assistance tool to help those people is wheelchair. With current technological developments, conventional wheelchair can be improved. Conventional wheelchair which operated by hand cannot be used by people with hand-foot impairment, as well as electric-powered...
In this paper we would describe a vehicle detection technique that can be used for traffic surveillance systems. An intelligent traffic surveillance system, equipped with electronic devices, works by communicating with moving vehicles about traffic conditions, monitor rules and regulations and avoid collision between cars. Therefore the first step in this process is the detection of cars. The system...
In this paper we propose a neural network allowing a mobile robot to learn artwork appreciation. The learning is based on the social referencing approach. The robot acquires its knowledge (artificial taste) from the interaction with humans. We present and analyze specifically the visual system, its impact on the robot behavior, and at the end, we analyze the readability of our robot behavior according...
Pedestrian detection is considered as an active area of research and the advent of autonomous vehicles for a smarter mobility has spearheaded the research in this field. In this paper, design of a real-time pedestrian detection system for autonomous vehicles is proposed and its performance is evaluated using images from standard datasets as well as realtime video input. The proposed system is designed...
The unified program architecture of real time vision system (VS) with several fields of view construction is described. The offered architecture provides both onboard and stationary usage. In case of stationary usage, it provides determination of location and trajectory of objects movement in the ordered system of co-ordinates. Principles of open architecture, componential technology and use of standard...
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