Title of thesis: GROUND VEHICLE ACOUSTIC SIGNAL PROCESSING BASED ON BIOLOGICAL HEARING MODELS: Degree candidate: Li Liu Degree and year: Master of Science, 1999 Thesis directed by: Professor John S. Baras Institute of Systems Research This thesis presents a prototype vehicle acoustic signal classification system with low classification error and short processing delay. To analyze the spectrum o...

Classification of combat vehicle types based on acoustic and seismic signals remains a challenging task due to temporal and frequency variability that exists in these passively collected vehicle indicators. This paper presents the results of exploiting the wavelet characteristic of projecting signal dynamics to an efficient temporal/scale (i.e. frequency) decomposition and extracting from that ...

One of the long term goals of autonomous underwater vehicle (AUV) minehunting is to have multiple inexpensive AUVs in a harbor autonomously classify hazards. Existing acoustic methods for target classification using AUV-based sensing, such as sidescan and synthetic aperture sonar, require an expensive payload on each outfitted vehicle and post-processing and/or image interpretation. A vehicle p...

Visual traffic surveillance using computer vision techniques can be noninvasive, automated, and cost effective. Traffic surveillance systems with the ability to detect, count, and classify vehicles can be employed in gathering traffic statistics and achieving better traffic control in intelligent transportation systems. However, vehicle classification poses a difficult problem as vehicles have ...

In this paper we proposed an Automatic Vehicle detection system for aerial surveillance. In this system, a pixel wise classification approach for vehicle detection is proposed. From the surviving framework of vehicle detection in aerial surveillance, classifications based on region and sliding window are escaped. Since the main disadvantage is that a vehicle tends to be divided as different reg...

Length-based vehicle classification data are important inputs for traffic operation, pavement design, and transportation planning. However, such data are not directly measurable by singleloop detectors, the most widely deployed type of traffic sensor in the existing roadway infrastructure. In this study a Video-based Vehicle Detection and Classification (VVDC) system was developed for truck dat...

The vehicle detection is the backbone of the urban surveillance systems, which is used to obtain and identify the various statistics of the urban vehicular mobility. Also the urban surveillance systems are used for the vehicle tracking or vehicular object classification. The proposed model has been designed for the purpose of the urban surveillance and vehicular modelling of the traffic. The pr...

A robust video based system for the traffic surveillance system on the highway for vehicle detection, vehicle classification and counting for effective traffic analysis using only a single standard camera. The key goal of the proposed work is to successfully detect, track, classify and count the vehicle in partial occlusion and connected together by shadow on the highways. Marker-controlled wat...