Human Detection Using Oriented Histograms of Flow and Appearance
Lecture notes in computer sciencePublished 1 January 2006Open access
Navneet Dalal, Bill Triggs, Cordelia Schmid
Citations1,653
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
A detector for standing and moving people in videos with possibly moving cameras and backgrounds is developed, testing several different motion coding schemes and showing empirically that orientated histograms of differential optical flow give the best overall performance.
Abstract
International audience
Keywords
Computer Science
International Journal of Computer VisionDistinctive Image Features from Scale-Invariant Keypoints
55,266 Citations2004David Lowe
This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
Histograms of Oriented Gradients for Human Detection
31,896 Citations2005Navneet Dalal, Bill Triggs
It is shown experimentally that grids of histograms of oriented gradient (HOG) descriptors significantly outperform existing feature sets for human detection, and the influence of each stage of the computation on performance is studied.
Rapid object detection using a boosted cascade of simple features
18,097 Citations2005Paul Viola, Michael Jones
A machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates and the introduction of a new image representation called the "integral image" which allows the features used by the detector to be computed very quickly.
Artificial IntelligenceDetermining optical flow
9,940 Citations1981Berthold K. P. Horn, Brian G. Schunck
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE<title>Determining Optical Flow</title>
7,496 Citations1981Berthold K. P. Horn, Brian G. Schunck
An iterative implementation is shown which successfully computes the optical flow for a number of synthetic image sequences and is robust in that it can handle image sequences that are quantized rather coarsely in space and time.
International Conference on Neural Information ProcessingAdvances in kernel methods: support vector learning
5,815 Citations1999Bernhard Schölkopf, Christopher J. C. Burges +1 more
Support vector machines for dynamic reconstruction of a chaotic system, Klaus-Robert Muller et al pairwise classification and support vector machines, Ulrich Kressel.
Technical reportsMaking Large-Scale SVM Learning Practical
4,317 Citations2006Thorsten Joachims
This chapter presents algorithmic and computational results developed for SVM light V 2.0, which make large-scale SVM training more practical and give guidelines for the application of SVMs to large domains.
IEEE Transactions on Pattern Analysis and Machine IntelligenceW/sup 4/: real-time surveillance of people and their activities
2,514 Citations2000I. Haritaoglu, David Harwood +1 more
W/sup 4/ employs a combination of shape analysis and tracking to locate people and their parts and to create models of people's appearance so that they can be tracked through interactions such as occlusions.
International Journal of Computer VisionDetecting Pedestrians Using Patterns of Motion and Appearance
2,104 Citations2005Paul Viola, Michael Jones +1 more
This pedestrian detection system is the first to combine both sources of information in a single detector, and operates on low resolution images under difficult conditions (such as rain and snow).
Lecture notes in statisticsThe Boosting Approach to Machine Learning: An Overview
2,013 Citations2003Robert E. Schapire
This chapter overviews some of the recent work on boosting including analyses of AdaBoost's training error and generalization error; boosting’s connection to game theory and linear programming; the relationship between boosting and logistic regression; extensions of Ada boost for multiclass classification problems; methods of incorporating human knowledge into boosting; and experimental and applied work using boosting.
Computer Vision and Image UnderstandingThe Visual Analysis of Human Movement: A Survey
1,767 Citations1999Dariu M. Gavrila
A number of promising applications are identified and an overview of recent developments in this domain is provided, including work on whole-body or hand motion and the various methodologies.
International Journal of Computer VisionA Trainable System for Object Detection
1,282 Citations2000Constantine Papageorgiou, Tomaso Poggio
Recognizing action at a distance
1,240 Citations2003Alexei A. Efros, Berg +2 more
A novel motion descriptor based on optical flow measurements in a spatiotemporal volume for each stabilized human figure is introduced, and an associated similarity measure to be used in a nearest-neighbor framework is introduced.
Detecting pedestrians using patterns of motion and appearance
987 Citations2003Viola, Jones +1 more
IEEE Transactions on Pattern Analysis and Machine IntelligenceExample-based object detection in images by components
945 Citations2001Anand Mohan, C. Papageorgiou +1 more
Results suggest that the improvement in performance is due to the component-based approach and the ACC data classification architecture, which is capable of locating partially occluded views of people and people whose body parts have little contrast with the background.
Pedestrian Detection in Crowded Scenes
864 Citations2005Bastian Leibe, Edgar Seemann +1 more
Qualitative and quantitative results on a large data set confirm that the core part of the method is the combination of local and global cues via probabilistic top-down segmentation that allows examining and comparing object hypotheses with high precision down to the pixel level.
Real-time object detection for "smart" vehicles
625 Citations1999Dariu M. Gavrila, V. Philomin
An efficient shape-based object detection method based on Distance Transforms is presented and its use for real-time vision on-board vehicles and some hardware-specific implementations of the proposed method as far as SIMD parallelism is concerned are discussed.
Lecture notes in computer scienceHuman Detection Based on a Probabilistic Assembly of Robust Part Detectors
610 Citations2004Krystian Mikolajczyk, Cordelia Schmid +1 more
A novel method for human detection in single images which can detect full bodies as well as close-up views in the presence of clutter and occlusion is described.
Recognizing Action at a Distance
338 Citations2003Alexei A. Efros, Alexander C. Berg +2 more
IEEE Transactions on Pattern Analysis and Machine IntelligenceAn algorithm for data-driven bandwidth selection
337 Citations2003Dorin Comaniciu
This paper develops a reliable algorithm which takes into account the stability of local bandwidth estimates across scales, and demonstrates that, within the large sample approximation, the local covariance is estimated by the matrix that maximizes the magnitude of the normalized mean shift vector.
IEEE Transactions on Pattern Analysis and Machine IntelligenceStability of phase information
221 Citations1993David J. Fleet, Allan D. Jepson
Vision-based pedestrian detection: the protector system
213 Citations2004Dariu M. Gavrila, J. Giebel +1 more
The PROTECTOR system combines pedestrian detection, trajectory estimation, risk assessment and driver warning, and an optimization scheme models the system as a succession of individual modules and finds a good overall parameter setting by combining individual ROCs using a convex-hull technique.
Recovering Motion Fields: An Evaluation of Eight Optical Flow Algorithms
184 Citations1998Ben Galvin, Brendan McCane +3 more
This study found that a modified version of Lucas and Kanade's algorithm has superior performance but produces sparse flow maps, while Proesmans et al.
Lecture notes in computer scienceDetermination of optical flow and its discontinuities using non-linear diffusion
164 Citations1994Marc Proesmans, Luc Van Gool +2 more
A new method for optical flow computation by means of a coupled set of non-linear diffusion equations that integrates the classical differential approach with the correlation type of motion detectors and is applicable to stereo matching.
Pattern rejection
65 Citations1996Simon Baker, Shree K. Nayar
Automatic cascade training with perturbation bias
45 Citations2004Jie Sun, James M. Rehg +1 more
A cascade indifference curve framework is introduced, which connects the learning objectives for a node to the overall cascade performance, and a new cost function for node learning is derived, which yields fully-automatic stopping conditions and improved detection performance.
