On-line boosting and vision
Boosting has become very popular in computer vision, showing impressive performance in
detection and recognition tasks. Mainly off-line training methods have been used, which …
detection and recognition tasks. Mainly off-line training methods have been used, which …
Automatic adaptation of a generic pedestrian detector to a specific traffic scene
In recent years significant progress has been made learning generic pedestrian detectors
from manually labeled large scale training sets. However, when a generic pedestrian …
from manually labeled large scale training sets. However, when a generic pedestrian …
Scene-specific pedestrian detection for static video surveillance
The performance of a generic pedestrian detector may drop significantly when it is applied to
a specific scene due to the mismatch between the source training set and samples from the …
a specific scene due to the mismatch between the source training set and samples from the …
Large-scale vehicle detection, indexing, and search in urban surveillance videos
We present a novel approach for visual detection and attribute-based search of vehicles in
crowded surveillance scenes. Large-scale processing is addressed along two dimensions …
crowded surveillance scenes. Large-scale processing is addressed along two dimensions …
Online boosting for vehicle detection
WC Chang, CW Cho - … on Systems, Man, and Cybernetics, Part …, 2009 - ieeexplore.ieee.org
This paper presents a real-time vision-based vehicle detection system employing an online
boosting algorithm. It is an online AdaBoost approach for a cascade of strong classifiers …
boosting algorithm. It is an online AdaBoost approach for a cascade of strong classifiers …
On-line boosting-based car detection from aerial images
Car detection from aerial images has been studied for years. However, given a large-scale
aerial image with typical car and background appearance variations, robust and efficient car …
aerial image with typical car and background appearance variations, robust and efficient car …
Object categorization
A Pinz - Foundations and Trends® in Computer Graphics …, 2006 - nowpublishers.com
This paper presents foundations, original research and trends in the field of object
categorization by computer vision methods. The research goals in object categorization are …
categorization by computer vision methods. The research goals in object categorization are …
Classifier grids for robust adaptive object detection
In this paper we present an adaptive but robust object detector for static cameras by
introducing classifier grids. Instead of using a sliding window for object detection we …
introducing classifier grids. Instead of using a sliding window for object detection we …
Improving part based object detection by unsupervised, online boosting
Detection of objects of a given class is important for many applications. However it is difficult
to learn a general detector with high detection rate as well as low false alarm rate …
to learn a general detector with high detection rate as well as low false alarm rate …
On-line boosting for car detection from aerial images
In this paper, we present a new approach for automatic car detection from aerial images.
The system exploits a robust machine learning method known as boosting for efficient car …
The system exploits a robust machine learning method known as boosting for efficient car …