Generic Object Detection Using Improved Gentleboost Classifier
نویسندگان
چکیده
منابع مشابه
Generic Object Detection using AdaBoost
Boosting has been shown to be an effective technique for face detection. This paper explores the implementation of a real-time object detection system as described by Viola and Jones. The system is initially tested on the problem of face detection and then applied to the problem of aircraft detection. Initial results show that detecting aircraft with high accuracy comes at the cost of many fals...
متن کاملObject detection using Haar-cascade Classifier
Object detection is an important feature of computer science. The benefits of object detection is however not limited to someone with a doctorate of informatics. Instead, object detection is growing deeper and deeper into the common parts of the information society, lending a helping hand wherever needed. This paper will address one such possibility, namely the help of a Haar-cascade classifier...
متن کاملGeneric Object Class Detection Using Feature Maps
In this paper we describe an object class model and a detection scheme based on feature maps, i.e. binary images indicating occurrences of various local features. Any type of local feature and any number of features can be used to generate feature maps. The choice of which features to use can thus be adapted to the task at hand, without changing the general framework. An object class is represe...
متن کاملTraining-free, Generic Object Detection using Locally Adaptive Regression Kernels
We present a generic detection/localization algorithm capable of searching for a visual object of interest without training. The proposed method operates using a single example of an object of interest to find similar matches; does not require prior knowledge (learning) about objects being sought; and does not require any pre-processing step or segmentation of a target image. Our method is base...
متن کاملAdaptive Performance-Based Classifier Combination for Generic Object Recognition
It is well-established in the pattern recognition community that the performance of classifiers can be greatly improved by combining the outputs of multiple classifiers. In this paper, we introduce the concept of adaptive performance-based classifier combination, i.e., the weighting of classifiers based on their estimated recognition performance, to generic object recognition. Using an expectat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Physics Procedia
سال: 2012
ISSN: 1875-3892
DOI: 10.1016/j.phpro.2012.03.272