vision based systems for "smart" airbag systems aim to give precise information about occupant pose and location. This information can be used to make intelligent airbag deployment decisions. This paper revi...
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vision based systems for "smart" airbag systems aim to give precise information about occupant pose and location. This information can be used to make intelligent airbag deployment decisions. This paper reviews both a stereo-based and long wave infrared-based system for "smart" airbag deployment. The algorithms are systematically evaluated through extensive real-time occupant tests. Data for both algorithms is simultaneously collected and evaluated for viability in an intelligent airbag system. Results of these experimental trials show the feasibility of each video based occupant position analysis system. Advantages and drawbacks of each method are discussed and potential solutions are suggested.
This paper presents an adaptive framework for live video analysis. The activities of surveillance subjects are described using a spatio-temporal vocabulary learned from recurrent motion patterns. The repetitive nature...
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ISBN:
(纸本)9781424421749
This paper presents an adaptive framework for live video analysis. The activities of surveillance subjects are described using a spatio-temporal vocabulary learned from recurrent motion patterns. The repetitive nature of object trajectories are used to build a topographical map, where nodes are points of interest and the edges correspond to activities, to describe a scene. The graph is learned in an unsupervised manner but is flexible and able to adjust to changes in the environment or other scene variations.
This paper explains a simple method for fast collision detection in manipulator tasks. We show from examples taken in the literature that solutions to this problem can be chosen among a continuum of schemes, according...
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This paper explains a simple method for fast collision detection in manipulator tasks. We show from examples taken in the literature that solutions to this problem can be chosen among a continuum of schemes, according to the method selected for representing the workspace and the robot, and the amount of computations performed before testing a particular trajectory. We then describe a method based on a recursive decomposition of the workspace, also referred to as an octree model, as a good tradeoff for a class of applications.
This paper describes an approach for detecting objects in front of an automobile using wide field of view stereo with a pair of omni cameras. Several configurations are suggested for effective detection of vehicles an...
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This paper describes an approach for detecting objects in front of an automobile using wide field of view stereo with a pair of omni cameras. Several configurations are suggested for effective detection of vehicles and pedestrians. The omni cameras are calibrated using sets of parallel lines on a parking lot. The calibration is used to rectify the omni images. Stereo matching is performed on the rectified images to detect other vehicles and pedestrians. Experimental results show promise of detecting these objects on the road.
Donald (1993) described a manipulation task for cooperating mobile robots that can push large, heavy objects. There, the author asked whether explicit local and global communication between the agents can be removed f...
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Donald (1993) described a manipulation task for cooperating mobile robots that can push large, heavy objects. There, the author asked whether explicit local and global communication between the agents can be removed from a family of pushing protocols. In this paper, the authors answer in the affirmative. They do so by using the general methods of Donald for analyzing information invariants. The authors discuss several measures for the information complexity of the task of pushing with cooperating mobile robots, and they present a methodology for creating new manipulation strategies out of existing ones. The authors develop and analyze synchronous and asynchronous manipulation protocols for a small team of cooperating mobile robots than can push large boxes. The protocols described have been implemented in several forms on the Cornell mobile robots in the authors' laboratory.< >
We present face recognition schemes based on video streams: the majority decision rule and HMM maximum likelihood (ML) decision rules. PCA type of subspace feature analysis is first applied to the face images in a vid...
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We present face recognition schemes based on video streams: the majority decision rule and HMM maximum likelihood (ML) decision rules. PCA type of subspace feature analysis is first applied to the face images in a video segment of a fixed number of frames. The majority decision rule is then applied to PCA recognition results in the video segment. Discrete HMM (DHMM) is also applied to the single-frame recognition sequences. Continuous density HMM (CDHMM) is applied directly to the sequence of PCA feature vectors for ML decision on the video segment in a delayed decision manner. Experimental results are compared between these three schemes in terms of the number of states and Gaussian mixtures of the HMMs. CDHMM-based decision rule achieved a 99% correct recognition rate in average. A geometric interpretation of ML in the feature subspace well explains the observed performances.
We present a rapid shallow coastal reef mapping system using a previously developed inexpensive diver less video capture system coupled with a fast-image mosaicking technique, using an affordable GPS logging device. T...
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Recent innovations in real-time machine vision, distributed computing, software architectures, and encrypted high-speed networking are expanding the available technology for intelligent camera arrays on televiewing an...
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Recent innovations in real-time machine vision, distributed computing, software architectures, and encrypted high-speed networking are expanding the available technology for intelligent camera arrays on televiewing and interactive applications. In this paper we describe research aimed at the realization of a powerful televiewing system using arrays of omnidirectional cameras. The video arrays provide an interactive, real-time, multiresolution televiewing interface to multiple people including physical security and emergency response crews simultaneously. Security measures such as authentication and network encryption are implemented on multiple platforms. Fusion of high-resolution rectilinear image over the omnidirectional image is also carried out. computervision techniques based on motion analysis are used for detecting interesting events. The televiewing system is verified for the performance as well as physically tested on the Super Bowl 2003 event for crowd detection and traffic monitoring.
Despite the dynamic development of computervision algorithms, the implementation of perception and control systems for autonomous vehicles such as drones and self-driving cars still poses many challenges. A video str...
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