Results 221 to 230 of about 84,040 (258)

Vehicle Detection and Classification in Aerial Imagery

2018 25th IEEE International Conference on Image Processing (ICIP), 2018
We present a novel method for vehicle detection and classification in aerial imagery. First, change detection analyzes a pair of mutually aligned images captured at the same location but at different time instants to generate vehicle proposals. Next, a trained Convolutional Neural Network (CNN) classifier is applied to (1) determine if a proposal truly
Yi Tan, Yanjun Xu, Subhodev Das, Ali Z. Chaudhry   +3 more
openaire   +1 more source

Flash LiDAR Imaging and Classification of Vehicles

2020 IEEE SENSORS, 2020
This paper discusses the work on 3D image collection and classification of vehicles at Defence Science and Technology (DST) Edinburgh using a flash LiDAR system. The LiDAR uses a DST designed 32 by 32 Single Photon Avalanche Diode (SPAD) array to image various vehicles.
Graeme Nash, Vladimyros Devrelis
openaire   +1 more source

Objective classification of vehicle seat discomfort

Ergonomics, 2014
The objective of this study was to identify how physiological measures relate to self-reported vehicle seating discomfort. Twelve subjects of varied anthropometric characteristics were enrolled in the study. Subjects sat in two seats over a 2-h period and were evaluated via three physiological measures (near-infrared spectroscopy, electromyography and ...
Peter, Le, Joseph, Rose, Gregory, Knapik, William S, Marras   +3 more
openaire   +2 more sources

Vehicle classification via 3D geometries

2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS), 2016
We present a generalized mobile technique which allows for the classification of vehicles by tracking two vehicle based Points of Interest (PoI). Tracking the two PoI allows for the composition of those points into a 3D geometry, which is unique to a given vehicle type.
McDowell, William, Martin, Lockheed, Mikhael, Wasfy B.   +2 more
openaire   +2 more sources

Vehicle classification in distributed sensor networks

Journal of Parallel and Distributed Computing, 2004
The task of classifying the types of moving vehicles in a distributed, wireless sensor network is investigated. Specifically, based on an extensive real world experiment, we have compiled a data set that consists of 820 MByte raw time series data, 70 MByte of preprocessed, extracted spectral feature vectors, and baseline classification results using ...
Marco F. Duarte, Yu Hen Hu
openaire   +1 more source

Ego-Motion Classification for Driving Vehicle

2017 IEEE Third International Conference on Multimedia Big Data (BigMM), 2017
Accurate prediction of vehicle ego-motion in real time is crucial for an autonomous driving system. In this paper, we formulate the problem of ego-motion classification as video event detection, and we propose an end-to-end deep model to address this problem.
Li Du, Wenhui Jiang 0001, Zhicheng Zhao 0001, Fei Su   +3 more
openaire   +1 more source

On-line vehicle classification

IEEE Transactions on Vehicular Technology, 1980
For various applications it is useful to automatically divide vehicles passing a point into several categories. For the method described two inductive loop detectors were used in each lane. The shape of the bottom of a passing car can be assessed by examining the detector's analog signal.
openaire   +1 more source

A PCA-Based Vehicle Classification Framework

22nd International Conference on Data Engineering Workshops (ICDEW'06), 2006
Due to its great practical importance, Intelligent Transportation System has been an active research area in recent years. In this paper, we present a framework that incorporates various aspects of an intelligent transportation system with its ultimate goal being vehicle classification. Given a traffic video sequence, the proposed system first proceeds
Chengcui Zhang, Xin Chen 0001, Wei-bang Chen   +2 more
openaire   +1 more source

Spatiotemporal Vehicle Tracking, Counting and Classification

2017 IEEE Third International Conference on Multimedia Big Data (BigMM), 2017
Detecting and tracking vehicles from transportation surveillance videos is essential for applications ranging from traffic queue detection, volume calculation to incident and vehicle identification. However, challenges including object occlusion and shadowy condition often lead to poor detection and tracking performance. In this paper, we propose a new
Abirami Ramanathan, Min Chen 0009
openaire   +1 more source

View independent vehicle/person classification

Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks, 2004
In this paper, we present an object classification system for digital video surveillance which can be used for an arbitrary camera viewpoint. The system was designed to distinguish humans from vehicles for an arbitrary scene. The system employs a two phase approach.
openaire   +1 more source