Boosting Chain Learning for Object Detection
ثبت نشده
چکیده
A general classification framework, called boosting chain, is proposed for learning boosting cascade. In this framework, a “chain” structure is introduced to integrate historical knowledge into successive boosting learning. Moreover, a linear optimization scheme is proposed to address the problems of redundancy in boosting learning and threshold adjusting in cascade coupling. By this means, the resulting classifier consists of fewer weak classifiers yet achieves lower error rates than boosting cascade in both training and test. Experimental comparisons of boosting chain and boosting cascade are provided through a face detection problem. The promising results clearly demonstrate the effectiveness made by boosting chain.
منابع مشابه
Boosting Chain Learning for Object Detection
A general classification framework, called boosting chain, is proposed for learning boosting cascade. In this framework, a “chain” structure is introduced to integrate historical knowledge into successive boosting learning. Moreover, a linear optimization scheme is proposed to address the problems of redundancy in boosting learning and threshold adjusting in cascade coupling. By this means, the...
متن کاملA Hybrid Framework for Building an Efficient Incremental Intrusion Detection System
In this paper, a boosting-based incremental hybrid intrusion detection system is introduced. This system combines incremental misuse detection and incremental anomaly detection. We use boosting ensemble of weak classifiers to implement misuse intrusion detection system. It can identify new classes types of intrusions that do not exist in the training dataset for incremental misuse detection. As...
متن کاملObject Detection and Segmentation using Discriminative Learning
Jingdan Zhang: Object Detection and Segmentation using Discriminative Learning. (Under the direction of Leonard McMillan.) Object detection and segmentation algorithms need to use prior knowledge of objects’ shape and appearance to guide solutions to correct ones. A promising way of obtaining prior knowledge is to learn it directly from expert annotations by using machine learning techniques. P...
متن کاملEfficient Boosting-Based Active Learning for Specific Object Detection Problems
In this work, we present a novel active learning approach for learning a visual object detection system. Our system is composed of an active learning mechanism as wrapper around a sub-algorithm which implement an online boosting-based learning object detector. In the core is a combination of a bootstrap procedure and a semi automatic learning process based on the online boosting procedure. The ...
متن کاملActive learning for visual object detection
One of the most labor intensive aspects of developing accurate visual object detectors using machine learning is to gather sufficient amount of labeled examples. We develop a selective sampling method, based on boosting, which dramatically reduces the amount of human labor required for this task. We apply this method to the problem of detecting pedestrians from a video camera mounted on a movin...
متن کامل