It is necessary for the system such as the robotics vision and the monitoring camera to detect the motion of the object and recognize the target in real time. However, this is difficult in conventional image processing systems constructed with a charge coupled device (CCD) camera and Neumann-type computer since information processing in this setup is accomplished in a time-sequential way. On th...

Motion blur often affects the ball image in photographs and video frames in many sports such as tennis, table tennis, squash and golf. In this work we operate on a single calibrated image depicting a moving ball over a known background, and show that motion blurred ball images, usually unwelcome in computer vision, bear more information than a sharp image. We provide techniques for extracting s...

We describe the design, fabrication and test results of an analog CMOS VLSI neural network prototype chip intended for phase-based machine vision algorithms. The chip implements an image filtering operation similar to Gabor-filtering. Because a Gabor filter's output is complex valued, it can be used to define a phase at every pixel in an image. This phase can be used in robust algorithms for di...

A novel concept for vision-based robot control is introduced. It eliminates the need for a calibration of the robot and of the vision system and comprises an automatic adaptation to changing parameters. A key point of the concept is the newly proposed method of "objectand behavior-oriented stereo vision". Contrary to conventional stereo vision methods it uses an uncalibrated camera system and a...

For exploring the application of assembly robot with vision function in the industrial field, in terms of vision control, a three-stage vision control strategy based on cross ratio invariant and motion displacement is put forward. The target motion is calculated by using cross ratio invariant and the moving route. First of all, the reference image is used for the alignment, and then the target ...

One goal of the "Demo III" unmanned ground vehicle program is to enable autonomous nighttime navigation at speeds of up to 10 m.p. h. To perform obstacle detection at night with stereo vision will require night vision cameras that produce adequate image quality for the driving speeds, vehicle dynamics, obstacle sizes, and scene conditions that will be encountered. This paper analyzes the suitab...

Perceptual processes, in computer or biological vision, require the computation of “maps” of quantitative values. The image itself is a “retinotopic map”: for each pixel of the image there is a value corresponding to the image intensity at this location. This is a vectorial value for color images. A step further, in early-vision, the retinal image contrast is computed at each location, allowing...

This paper discusses the detection of moving objects (being a crucial part of driver assistance systems) using monocular or stereoscopic computer vision. In both cases, object detection is based on motion analysis of individually tracked image points (optical flow), providing a motion metric which corresponds to the likelihood that the tracked point is moving. Based on this metric, points are s...

Facial tracking is a key step for face modeling, coding and animation. In this paper we present a robust method of facial tracking in stereo vision. We use an efficient representation of 3-D face motion, consisting of global head motion and local facial deformation. Stereo vision is utilized to measure 3-D coordinates of the face, the global and local motion parameters of the tracked face is so...