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A concept and practical implementation of a crowd management system which acquires input data by the set of monitoring cameras is presented. Two leading threads are considered. First concerns the crowd behavior analysis. Second thread focuses on detection of a hold-ups in the doorway. The optical flow combined with soft computing methods (neural network) is employed to evaluate the type of crowd behavior,...
In this paper, we proposed an approach of multi-person movement tracking in office environment without any identity conflicts. Simple image processing with frame differentiation method is applied to identify multiple human motion. An Expert System is applied to predict next camera occurrence of the tracking human. The main objective of this work is to detect and track multi-human motion using single...
Position estimation using wheel odometric systems tends to give rather poor performances for an outdoor four-wheel skid steered mobile robot. Therefore autonomous control of these vehicles is extremely challenging in outdoor environments. This paper describes an outdoor localization system based on visual odometry for skid steered vehicle using forward faced camera and a downward faced camera. Optical...
There are many behavioral-recognition camera for people or pets and such as street surveillance camera became to use camera at many place. However, the amount of information is increasing, and in the manual analysis of all things and cause cost and oversight, to collect data for learning to act like a machine can recognize, it is difficult to collect large, the necessity of analyzing a camera automatically...
Exposure Fusion and other HDR techniques generate well-exposed images from a bracketed image sequence while reproducing a large dynamic range that far exceeds the dynamic range of a single exposure. Common to all these techniques is the problem that the smallest movements in the captured images generate artefacts (ghosting) that dramatically affect the quality of the final images. This limits the...
This paper deals with automatic characterization of video capture actions like scale change (zoom) or translation (traveling) in a video sequence. The overall objective is to enhance the scripted quality while capturing a video sequence by professionals or non professionals. Ultimately, the capture actions would use a predefined video template, progressively filled by the cameraman and automatically...
This paper presents a LabVIEW application and a hardware module used for movement detection of objects in a surveillance area (nuclear plant perimeters, frontiers, etc.) The system use as sensor a single video camera connected to the PC on the USB interface. An external module connected to the parallel interface of PC is used to drive a stepper motor that provides the proper orientation of the video...
This paper presents a real-time algorithm of accurately identifying helipad and estimating the state information for landing an unmanned aerial helicopter autonomously via computer vision. The algorithm estimates the instantaneous attitude and position parameters of the helicopter relative to the helipad from continuously tracked points using the optical flow method. The vision system, consisting...
This work presents some results obtained from image processing and motion analysis of the human body. The issues raised in motion analysis are of interest for obtaining motion-specific parameters for movements of the human body. The resulting data (spatial coordinates, velocities and accelerations) are used for further processing in humanoid robotics and assistive and recuperative technologies for...
A method of motion detection and tracking based on multi-camera surveillance system is presented in this paper. First detecting moving blocks by dynamic template, and then check the moving blocks, get the elements of computing movement blocks such as spatial characteristics and histogram then detecting and tracking the moving objects according to characteristics of elements. Experiments show that...
This paper presents an application of computer vision methods to traffic flow monitoring and road traffic analysis. The application utilizes image-processing and pattern recognition methods designed and modified to the needs and constrains of road traffic analysis. These methods combined together gives functional capabilities of the system to monitor the road, to initiate automated vehicle tracking,...
The paper deals with the issue of action recognition as an application of the new 3D time-of-flight (ToF) camera, exploiting the special ability of the device to measure distances. Segmentation of moving people is straightforward from the distance information and subsequent steps of the processing chain follow in a classical way. We describe the first results on action recognition using ToF camera...
Active gaze stabilization is of vital importance for the use of high resolution tele-cameras in autonomous vehicles. Small aperture angles together with large focal lengths cause high sensitivity to rotational vehicle motion induced e.g. by bumps or braking. Due to large latencies in image processing only gaze stabilization based on inertial sensors is fast enough to ensure stable images. As this...
A single camera stereographic imaging system was designed, built and tested for the intended application of tracking upper limb motion. The system consisted of a camera, quad-mirror system and image acquisition and processing software. This paper describes the design methods used and the testing of the system. Design methods included geometry optimisation and testing consisted of proof-of-concept...
This paper proposes an optical motion capture system for physical motion analysis in driving. Markers for motion capture consist of two high intensity LEDs, one for position measurement and the other for pilot signal. The pilot marker flashes synchronized with the periodic pulse, which is generated by multiplying the UTC second (1PPS) obtained by the GPS. Video cameras are also triggered with the...
Nowadays motion capture is a valuable technique for virtual character animation in digital movies and games due to the high degree of realism that can be achieved. Unfortunately, most of the systems currently available to perform that task are expensive and proprietary. In this work, an open source application for optical motion capture is developed based on digital image analysis techniques. The...
As background subtraction is a common computer vision task; we analyze the usual pixel-level approach. We develop an efficient adaptive algorithm system based on pixel comparison. Recursive comparison of pixel is used between the present frame and the reference frame. This algorithm is implemented using image processing in MatLAB Environment and we work on making it a real-time applicable tool for...
When the man-machine communication system faces many users at the same time, it becomes a question that how to discover the spokesperson. In the complex environment, the noise may cause some difficulties for the robot to recognize the sound commands. To solve this question, we try to use the camera on the robot to find out the spokesperson. In this research, we propose a new image processing method...
Stabilization of images is required for many applications, these include target identification and tracking. Many methods of performing this stabilization exist, primarily classifiable as either software techniques or mechanical stabilization using external information such as an inertial reference system or geo-pointing system. The aim of this work is to investigate the feasibility of using only...
In this paper a comparative study of three ground traffic surveillance systems for airports based on different sensing technologies is presented. The first two solutions are based on video-based surveillance, while the third one is based on signal-based surveillance. More specifically, the first solution employs a network of smart cameras, whereas the second utilizes multiple autonomous tracking units...
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