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Results 1 - 10
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281
Integrated Pedestrian Classification and Orientation Estimation
"... This paper presents a novel approach to single-frame pedestrian classification and orientation estimation. Unlike previous work which addressed classification and orientation separately with different models, our method involves a probabilistic framework to approach both in a unified fashion. We add ..."
Abstract
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Cited by 19 (4 self)
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This paper presents a novel approach to single-frame pedestrian classification and orientation estimation. Unlike previous work which addressed classification and orientation separately with different models, our method involves a probabilistic framework to approach both in a unified fashion. We
Multi-Cue Pedestrian Classification With Partial Occlusion Handling
"... This paper presents a novel mixture-of-experts framework for pedestrian classification with partial occlusion handling. The framework involves a set of component-based expert classifiers trained on features derived from intensity, depth and motion. To handle partial occlusion, we compute expert weig ..."
Abstract
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Cited by 55 (7 self)
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This paper presents a novel mixture-of-experts framework for pedestrian classification with partial occlusion handling. The framework involves a set of component-based expert classifiers trained on features derived from intensity, depth and motion. To handle partial occlusion, we compute expert
Report on Pedestrian Classification Paolo Medici
"... Abstract — This report collects results of some experiments on pedestrian detection problem using different State of The Art techniques. All tests are made using X-Boost ToolBox, version 2.0.2. ..."
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Abstract — This report collects results of some experiments on pedestrian detection problem using different State of The Art techniques. All tests are made using X-Boost ToolBox, version 2.0.2.
Report on Pedestrian Classification Paolo Medici
"... Abstract — This report collects results of some experiments on pedestrian detection problem using different State of The Art techniques. All tests are made using X-Boost ToolBox, version 2.0.2. ..."
Abstract
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Abstract — This report collects results of some experiments on pedestrian detection problem using different State of The Art techniques. All tests are made using X-Boost ToolBox, version 2.0.2.
A Mixed Generative-Discriminative Framework for Pedestrian Classification
"... This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classification performance of a discriminative model. Our generative model captures prior knowledge about the pedestrian class in te ..."
Abstract
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Cited by 28 (4 self)
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This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classification performance of a discriminative model. Our generative model captures prior knowledge about the pedestrian class
High-level fusion of depth and intensity for pedestrian classification
- In Proc. DAGM
, 2009
"... Abstract. This paper presents a novel approach to pedestrian classification which involves a high-level fusion of depth and intensity cues. Instead of utilizing depth information only in a pre-processing step, we propose to extract discriminative spatial features (gradient orientation histograms and ..."
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Cited by 12 (4 self)
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Abstract. This paper presents a novel approach to pedestrian classification which involves a high-level fusion of depth and intensity cues. Instead of utilizing depth information only in a pre-processing step, we propose to extract discriminative spatial features (gradient orientation histograms
Implementation of Robust HOG-SVM based Pedestrian Classification
"... Achieving pedestrian protection by means of computer vision is not a new topic in the field of computer vision research; however it is still being pursued with renewed interest because of the huge scope for performance improvement in the existing systems. Generally, the task of pedestrian detection ..."
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. It is of paramount importance that the extracted features from the image should be robust and distinct enough to help the classifier distinguish between a pedestrian and a non-pedestrian, while a good classification algorithm would go a long way in precisely identifying a pedestrian as well as in simplifying
Feature Extraction for Pedestrian Classification Under the Presence of Occlusions
"... The identification of pedestrians is an important problem in a wide range of computer vision applications. Previous work on pedestrian identification mainly focuses on feature extraction approaches. In this study, we investigate four new features for pedestrian identification that aim to overcome th ..."
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The identification of pedestrians is an important problem in a wide range of computer vision applications. Previous work on pedestrian identification mainly focuses on feature extraction approaches. In this study, we investigate four new features for pedestrian identification that aim to overcome
An Experimental Study on Pedestrian Classification using Local Features
"... Abstract—This paper presents an experimental study on pedestrian detection using state-of-the-art local feature extraction and support vector machine (SVM) classifiers. The performance of pedestrian detection using region covariance, histogram of oriented gradients (HOG) and local receptive fields ( ..."
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Abstract—This paper presents an experimental study on pedestrian detection using state-of-the-art local feature extraction and support vector machine (SVM) classifiers. The performance of pedestrian detection using region covariance, histogram of oriented gradients (HOG) and local receptive fields
A MULTI-LEVEL MIXTURE-OF-EXPERTS FRAMEWORK FOR PEDESTRIAN CLASSIFICATION
, 2011
"... Notwithstanding many years of progress, pedestrian recognition is still a difficult but important problem. We present a novel multi-level Mixture-of-Experts approach to combine information from multiple features and cues with the objective of improved pedestrian classification. On pose-level, shape ..."
Abstract
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Cited by 16 (3 self)
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Notwithstanding many years of progress, pedestrian recognition is still a difficult but important problem. We present a novel multi-level Mixture-of-Experts approach to combine information from multiple features and cues with the objective of improved pedestrian classification. On pose-level, shape
Results 1 - 10
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281
