In this paper, we present an extension to the real-time motion template research for computer vision as previously developed in (Davis 1997). The underlying representation is a Motion History Image (MHI) that temporally layers consecutive image silhouettes (or motion properties) of a moving person into a single template form. Originally a global, label-based method was used for recognition. In ...

Many problems in computer vision involve multiple images. These could be images taken by multiple cameras of the same scene, video sequences or multispectral images, etc. This workshop was concerned with the theoretical, algorithmic and implementation issues in multi-image acquisition, storage, retrieval, processing, analysis, manipulation and visualization. 38 talks were presented in 10 techni...

sorting and classification of agricultural products by machine vision system reduce costs and increase quality and accuracy. this research was performed to develop an algorithm and machine vision system for separating dirty and defects eggs and classifying by volume and weight. this machine installed on transport line egg in agriculture included a digital camera, computer and mechanical device ...

Introduction: Motion of the patient during myocardial perfusion SPECT could potentially results in false perfusion defects. The effect of different reconstruction methods on these artifacts is not studied. Clarification of the relation between the extent, severity and duration of motion with the resultant artifacts may be helpful in designing special soft wares for motion correction. This...

In this paper, we address the problem of estimating image features whenever they become unavailable during a vision-based navigation task. The method consists in analytically integrating the relation linking the visual features motion in the image to the 3D camera motion. Simulation results validate our work.

Vision tasks with constrained camera motion have been discussed for a long time since Active Vision appeared. As an example, Camera under planar motion can often simplify the works, like camera self-calibration, scene reconstruction and robot self-location. In this paper, we provide detail information on the algebraic characteristic and geometric interpretation of planar motion. It does help to...

Recent demands in sophisticated mobile robots require many semi-autonomous or even autonomous operations, such as decision making, simultaneous localization and mapping, motion tracking and risk assessment, while operating in dynamic environments. Most of these capabilities depend highly on the quality of the input from the cameras mounted on the mobile platforms and require fast processing tim...

Deriving accurate 3-D motion information of a scene is an essential and important task in computer vision, and is also one of the most difficult problems. In this paper, using photogrammetry method and computer vision technique the author investigates the determination of 3-D motion parameters from binocular stereo image sequences method and steps. Discussing the in-situ calibration for binocul...

We propose a new model for the prediction of distortion visibility in digital image sequences, which is aimed at use in digital video compression algorithms. The model is an extension of our spatial vision model with a spatio-temporal contrast sensitivity function and an eye movement estimation algorithm. Due to the importance of smooth pursuit eye movements when viewing image sequences, eye mo...