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In this paper, a hand gesture detection and classification system using two differential Pyro-electric Infrared (PIR) sensors and a camera is introduced. Motion presence is investigated in the area of interest using two differential PIR sensors. In the case of any motion detection, a decision whether it belongs to a hand or not is made by using camera and if it is a hand, which gesture belongs to...
Integrity of the information provided by a perception system is crucial for advanced driver assistance systems intended for safety applications, like obstacle avoidance systems. A method to ensure integrity is to use different kinds of perception sources. Lidars are key sensors for multiple objects detection and tracking. Stereo vision systems (SVS) can be used to improve the tracking but, in this...
A wearable surface capable of performing object recognition on objects placed on it has many applications in health care such as surgery, assisted living posture monitoring, specifically movement of body parts during sleep and etc. The flexibility and wearability of textile material allows its widespread applications in body-worn contexts. In this work, we propose a portable and wearable smart textile...
This paper presents the tracking and estimation of indoor UAVs using multi-camera visual feedback. The proposed vision algorithm enhances the performance of the vision system by making up for a weakness of low cost camera such as poor resolution and large noise. For the pose estimation of multiple vehicles, data association algorithm using the geometric relation between cameras is employed in this...
This paper presents target motion estimation for multiple air vehicles. The motion of the airborne target is estimated by vision information from camera sensors fixed to the followers. Each camera sensors provides information of the target by three angles: an azimuth angle, an elevation angle, and a subtended angle. In the frame work of information filter, each follower estimates position, velocity...
Trustworthy sensors are the key points regarding road safety applications. The lack of reliable sensors able to fulfil the entire requirements for these situations makes fusion schemes mandatory. A fusion scheme that uses two sensors: far infrared camera vision and a laser scanner to perform pedestrian detection is presented. Both sensors have different field of view thus different detection zones...
In this paper, we deal with an original advanced driver assistance system (ADAS) based on the use of omnidirectional vision and an evidential fusion architecture. The panoramic perception solution permits us to address efficiently the problem of close vehicles detection but also the monitoring side traffic system. The fusion and integration of this sensorial data stream is assumed by a credibilist...
In this paper, a robust and efficient approach for multicamera human tracking is presented. The approach is integrated in an experimental surveillance system, based on a camera network with a task-oriented architecture. At sensor level, image processing algorithms are applied for object detection and feature extraction. Additionally, for each object that is to be tracked, an agent-based multi-sensor...
Object tracking is a crucial task in computer vision systems for surveillance, traffic monitoring or intelligent homes. In all these cases, tracking is based on association of observations. Conventional tracking approaches assume similarity in space, time and appearance of objects in successive observations. However, Observations of objects are often widely separated in time and space when viewed...
In quantitative dermatology, high resolution sensors provide images that capture fine scale features like pores, birthmarks, and moles. Breathing and minute movements result in misregistration of micro level features. Many computer vision methods for dermatology such as change detection, appearance capture, and multi sensor fusion require high accuracy point-wise registration of micro level features...
The work reported in this paper investigates the problem of intelligent patient monitoring, whereby a combination of smart sensor technology and computational intelligence techniques is used to observe then understand the behavior of a person in a self-care context, such as a patient in his hospital room or an elderly in her home. The key objective is to automatically derive a model that encompasses...
Autonomous vehicle control can benefit from the abstraction of data from multiple sensors into an information stream containing only relevant aspects of the environment. We use this abstracted information stream to create a virtual environment. The virtual environment differs from the real environment in that only objects relevant to the vehicle are identified and mapped in the virtual environment...
The following topics are dealt with: signal processing; information theory; intelligent computation; sensor networks protocols; computer vision; mobile robotics; image processing; nonlinear systems; multi-agent systems; robust control; computational intelligence; embedded intelligence; knowledge discovery; human robot interaction; pattern recognition; sensor fusion; video signal processing; and virtual...
A method of real-time collision obstacle for autonomous mobile robots in local dynamic environment using multi-sensor data fusion is proposed. Due to the effectiveness of the optical flow sensors, the robot can acquire more accurate self-motion information. This paper also proposes an approach to complete enhancement based on the earlier vector field histogram algorithm (VFH), which is called VFH#...
Data fusion on remote sensing is one of important problems in current image processing. The key of a successful image fusion is to find effective and practical image fusion algorithm. To eliminate image data redundancy for two different remote sensing images, a new approach using the constrained nonnegative matrix factorization for remote image fusion between Landsat ETM+ panchromatic and CBERS multi-spectral...
The sensor network have been designed using fiber bragg grating (FBG) sensors which could inspect the curvature of the multipoint with the technology of spatial-division-multiplexing (SDM) and wavelength-division-multiplexing (WDM). It provides accurate inspected data for surface reconstruction. The distribution for those embedded sensors is based on the strain of thin shell. The sensor is dense if...
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