Feature Interaction Descriptor for Pedestrian Detection
نویسندگان
چکیده
منابع مشابه
Symmetrical Judgment and Improvement of CoHOG Feature Descriptor for Pedestrian Detection
Pedestrian detection method is the highest priority for “active safety” which prevents traffic accidents before happens. In previous studies, edge orientation based feature descriptors are proposed. Recently, high standard detection algorithm, Co-occurrence Histograms of Oriented Gradients (CoHOG) is proposed. However, this method has miss detection in complicated situation and processing cost ...
متن کاملExtended Feature Descriptor and Vehicle Motion Model with Tracking-by-Detection for Pedestrian Active Safety
The percentage of pedestrian deaths in traffic accidents is on the rise in Japan. In recent years, there have been calls for measures to be introduced to protect vulnerable road users such as pedestrians and cyclists. In this study, a method to detect and track pedestrians using an in-vehicle camera is presented. We improve the technology of detecting pedestrians by using the highly accurate im...
متن کاملA Novel Two-Level Shape Descriptor for Pedestrian Detection
The demand for pedestrian detection and tracking algorithms is rapidly increasing with applications in security systems, human computer interaction and human activity analysis. A pedestrian is a person standing in an upright position. Previous work involves using various types of image descriptors to detect humans. However, the existing approaches, although exhibit low misdetection rate, result...
متن کاملBoosting Soft-Margin SVM with Feature Selection for Pedestrian Detection
We present an example-based algorithm for detecting objects in images by integrating component-based classifiers, which automaticaly select the best feature for each classifier and are combined according to the AdaBoost algorithm. The system employs a soft-margin SVM for the base learner, which is trained for all features and the optimal feature is selected at each stage of boosting. We employe...
متن کاملMultifractal Feature Descriptor for Histopathology
BACKGROUND Histologic image analysis plays an important role in cancer diagnosis. It describes the structure of the body tissues and abnormal structure gives the suspicion of the cancer or some other diseases. Observing the structural changes of these chaotic textures from the human eye is challenging process. However, the challenge can be defeat by forming mathematical descriptor to represent ...
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: IEICE Transactions on Information and Systems
سال: 2010
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.e93.d.2656