In this paper, we propose an approach to vehicle classification under a mid-field
surveillance framework. We develop a repeatable and discriminative feature based on edge …

Object classification in far-field video sequences is a challenging problem because of low-
resolution imagery and projective image distortion. Most existing far-field classification …

Object identification (OID) is specialized recognition where the category is known (eg cars)
and the algorithm recognizes an object's exact identity (eg Bob's BMW). Two special …

In this paper we describe an approach to recognizing poorly textured objects, that may
contain holes and tubular parts, in cluttered scenes under arbitrary viewing conditions. To …

This work presents a vision-based vehicle identification system which consists of object
extraction, object tracking, occlusion detection and segmentation, and vehicle classification …

We present a computer vision system for the detection and identification of urban objects
from mobile phone imagery, eg, for the application of tourist information services …

Classifying moving objects to semantically meaningful categories is important for automatic
visual surveillance. However, this is a challenging problem due to the factors related to the …

Given an image region of pixels, second order statistics can be used to construct a
descriptor for object representation. One example is the covariance matrix descriptor, which …

In this paper we present a full-featured license plate detection and recognition system. The
system is implemented on an embedded DSP platform and processes a video stream in real …

Visual surveillance systems intend to extract meaning from a scene. Two initial steps for this
extraction are the detection and tracking of objects followed by the classification of these …