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Histograms of Oriented Gradients for Human Detection (2005)

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by Navneet Dalal , Bill Triggs
Venue:In CVPR
Citations:3735 - 9 self
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Citations

8952 Distinctive image features from scaleinvariant keypoints - Lowe - 2003 (Show Context)

Citation Context

...ptors provide excellent performance relative to other existing feature sets including wavelets [17,22]. The proposed descriptors are reminiscent of edge orientation histograms [4,5], SIFT descriptors =-=[12]-=- and shape contexts [1], but they are computed on a dense grid of uniformly spaced cells and they use overlapping local contrast normalizations for improved performance. We make a detailed study of th...

1860 Making large-scale SVM learning practical - Joachims - 1999 (Show Context)

Citation Context

...ing the border) causes a similar loss of performance, even though the resolution of the person is actually increased. 6.6 Classifier By default we use a soft (C=0.01) linear SVM trained with SVMLight =-=[10]-=- (slightly modified to reduce memory usage for problems with large dense descriptor vectors). Using a Gaussian kernel SVM increases performance by about 3% at 10 −4 FPPW at the cost of a much higher r...

1783 A performance evaluation of local descriptors - Mikolajczyk, Schmid (Show Context)

Citation Context

... wide baseline image matching [12], in which it provides the underlying image patch descriptor for matching scaleinvariant keypoints. SIFT-style approaches perform remarkably well in this application =-=[12,14]-=-. The Shape Context work [1] studied alternative cell and block shapes, albeit initially using only edge pixel counts without the orientation histogramming that makes the representation so effective. ...

1467 Scale and affine invariant interest point detectors. - Mikoljczyk, Schmid - 2004 (Show Context)

Citation Context

...e postponed until §6. The method is based on evaluating well-normalized local histograms of image gradient orientations in a dense grid. Similar features have seen increasing use over the past decade =-=[4,5,12,15]-=-. The basic idea is that local object appearance and shape can often be characterized rather well by the distribution of local intensity gradients orsInput image Normalize gamma & colour Compute gradi...

742 The visual analysis of human movement: a survey - Gavrila - 1999 (Show Context)

Citation Context

...he main conclusions are summarized in §7. 2 Previous Work There is an extensive literature on object detection, but here we mention just a few relevant papers on human detection [18,17,22,16,20]. See =-=[6]-=- for a survey. Papageorgiou et al [18] describe a pedestrian detector based on a polynomial SVM using rectified Haar wavelets as input descriptors, with a parts (subwindow) based variant in [17]. Depo...

591 PCA-SIFT: A More Distinctive Representation for Local Image Descriptors,” - Ke, Sukthankar - 2004 (Show Context)

Citation Context

... box filters at 45 ◦ intervals and the corresponding 2 nd derivative xy filter. PCA-SIFT. These descriptors are based on projecting gradient images onto a basis learned from training images using PCA =-=[11]-=-. Ke & Sukthankar found that they outperformed SIFT for key point based matching, but this is controversial [14]. Our implementation uses 16×16 blocks with the same derivative scale, overlap, etc., se...

575 Detecting pedestrians using patterns of motion and appearance,” in - Viola, Jones, et al. - 2003 (Show Context)

Citation Context

...ure sets for human detection, showing that locally normalized Histogram of Oriented Gradient (HOG) descriptors provide excellent performance relative to other existing feature sets including wavelets =-=[17,22]-=-. The proposed descriptors are reminiscent of edge orientation histograms [4,5], SIFT descriptors [12] and shape contexts [1], but they are computed on a dense grid of uniformly spaced cells and they ...

343 A trainable system for object detection - Papageorgiou, Poggio
317 Examplebased object detection in images by components - Mohan, Papageorgiou, et al. - 2001 (Show Context)

Citation Context

...ure sets for human detection, showing that locally normalized Histogram of Oriented Gradient (HOG) descriptors provide excellent performance relative to other existing feature sets including wavelets =-=[17,22]-=-. The proposed descriptors are reminiscent of edge orientation histograms [4,5], SIFT descriptors [12] and shape contexts [1], but they are computed on a dense grid of uniformly spaced cells and they ...

278 Human detection based on a probabilistic assembly of robust part detectors Computer Vision-ECCV - Mikolajczyk, Schmid, et al. - 2004 (Show Context)

Citation Context

...the process in §5–6. The main conclusions are summarized in §7. 2 Previous Work There is an extensive literature on object detection, but here we mention just a few relevant papers on human detection =-=[18,17,22,16,20]-=-. See [6] for a survey. Papageorgiou et al [18] describe a pedestrian detector based on a polynomial SVM using rectified Haar wavelets as input descriptors, with a parts (subwindow) based variant in [...

243 Real-time object detection for “smart” vehicles. Paper presented at the Computer Vision, - Gavrila, Philomin - 1999 (Show Context)

Citation Context

...ased on a polynomial SVM using rectified Haar wavelets as input descriptors, with a parts (subwindow) based variant in [17]. Depoortere et al give an optimized version of this [2]. Gavrila & Philomen =-=[8]-=- take a more direct approach, extracting edge images and matching them to a set of learned exemplars using chamfer distance. This has been used in a practical real-time pedestrian detection system [7]...

208 Efficient matching of pictorial structures,” - Felzenszwalb, Huttenlocher - 2000 (Show Context)

Citation Context

...d an articulated body detector by incorporating SVM based limb classifiers over 1 st and 2 nd order Gaussian filters in a dynamic programming framework similar to those of Felzenszwalb & Huttenlocher =-=[3]-=- and Ioffe & Forsyth [9]. Mikolajczyk et al [16] use combinations of orientationposition histograms with binary-thresholded gradient magnitudes to build a parts based method containing detectors for f...

200 Orientation Histograms for Hand Gesture Recognition”, Mitsubishi Electric Research Laboratories, - Freeman, Roth - 1994 (Show Context)

Citation Context

...ed Gradient (HOG) descriptors provide excellent performance relative to other existing feature sets including wavelets [17,22]. The proposed descriptors are reminiscent of edge orientation histograms =-=[4,5]-=-, SIFT descriptors [12] and shape contexts [1], but they are computed on a dense grid of uniformly spaced cells and they use overlapping local contrast normalizations for improved performance. We make...

158 Spatial mapping in the primate sensory projection: Analytic structure and relevance to perception. - Schwartz - 1977 (Show Context)

Citation Context

...would allow fine coding of nearby structure to be combined with coarser coding of wider context, and the fact that the transformation from the visual field to the V1 cortex in primates is logarithmic =-=[21]-=-. However small descriptors with very few radial bins turn out to give the best performance, so in practice there is little inhomogeneity or context. It is probably better to think of C-HOG’s simply a...

142 Object detection using the statistics of parts. - Schneiderman, Kanade - 2004 (Show Context)

Citation Context

...the process in §5–6. The main conclusions are summarized in §7. 2 Previous Work There is an extensive literature on object detection, but here we mention just a few relevant papers on human detection =-=[18,17,22,16,20]-=-. See [6] for a survey. Papageorgiou et al [18] describe a pedestrian detector based on a polynomial SVM using rectified Haar wavelets as input descriptors, with a parts (subwindow) based variant in [...

126 Probabilistic methods for finding people,” - Ioffe, Forsyth - 2001 (Show Context)

Citation Context

...tector by incorporating SVM based limb classifiers over 1 st and 2 nd order Gaussian filters in a dynamic programming framework similar to those of Felzenszwalb & Huttenlocher [3] and Ioffe & Forsyth =-=[9]-=-. Mikolajczyk et al [16] use combinations of orientationposition histograms with binary-thresholded gradient magnitudes to build a parts based method containing detectors for faces, heads, and front a...

77 Computer Vision for Computer Games”, - Freeman, Tanaka, et al. - 1996 (Show Context)

Citation Context

...ed Gradient (HOG) descriptors provide excellent performance relative to other existing feature sets including wavelets [17,22]. The proposed descriptors are reminiscent of edge orientation histograms =-=[4,5]-=-, SIFT descriptors [12] and shape contexts [1], but they are computed on a dense grid of uniformly spaced cells and they use overlapping local contrast normalizations for improved performance. We make...

58 Vision-Based Pedestrian Detection: The PROTECTOR System,” - Gavrila, Giebel, et al. - 2004 (Show Context)

Citation Context

...[8] take a more direct approach, extracting edge images and matching them to a set of learned exemplars using chamfer distance. This has been used in a practical real-time pedestrian detection system =-=[7]-=-. Viola et al [22] build an efficient moving person detector, using AdaBoost to train a chain of progressively more complex region rejection rules based on Haar-like wavelets and space-time difference...

11 An afne invariant interest point detector - Mikolajczyk, Schmid - 2002 (Show Context)

Citation Context

...e postponed until x6. The method is based on evaluating well-normalized local histograms of image gradient orientations in a dense grid. Similar features have seen increasing use over the past decade =-=[4,5,12,15]-=-. The basic idea is that local object appearance and shape can often be characterized rather well by the distribution of local intensity gradients or 1 colour Normalize gamma & gradients Compute into ...

7 Method of and apparatus for pattern recognition - McConnell - 1986
6 Efficient pedestrian detection: a test case for svm based categorization. Workshop on Cognitive Vision, 2002. Available online: http://www.vision.ethz.ch/cogvis02 - Poortere, Cant, et al. (Show Context)

Citation Context

... a pedestrian detector based on a polynomial SVM using rectified Haar wavelets as input descriptors, with a parts (subwindow) based variant in [17]. Depoortere et al give an optimized version of this =-=[2]-=-. Gavrila & Philomen [8] take a more direct approach, extracting edge images and matching them to a set of learned exemplars using chamfer distance. This has been used in a practical real-time pedestr...

5 Matching shapes. The 8th ICCV - Belongie, Malik, et al. - 2001 (Show Context)

Citation Context

...performance relative to other existing feature sets including wavelets [17,22]. The proposed descriptors are reminiscent of edge orientation histograms [4,5], SIFT descriptors [12] and shape contexts =-=[1]-=-, but they are computed on a dense grid of uniformly spaced cells and they use overlapping local contrast normalizations for improved performance. We make a detailed study of the effects of various im...

4 Learning to parse pictures of people. The 7th ECCV - Ronfard, Schmid, et al. - 2002 (Show Context)

Citation Context

...] build an efficient moving person detector, using AdaBoost to train a chain of progressively more complex region rejection rules based on Haar-like wavelets and space-time differences. Ronfard et al =-=[19]-=- build an articulated body detector by incorporating SVM based limb classifiers over 1 st and 2 nd order Gaussian filters in a dynamic programming framework similar to those of Felzenszwalb & Huttenlo...

2 Probabilistic methods for nding people - Ioffe, Forsyth (Show Context)

Citation Context

...y detector by incorporating SVM based limb classiers over 1st and 2nd order Gaussian lters in a dynamic programming framework similar to those of Felzenszwalb & Huttenlocher [3] and Ioffe & Forsyth =-=[9]-=-. Mikolajczyk et al [16] use combinations of orientationposition histograms with binary-thresholded gradient magnitudes to build a parts based method containing detectors for faces, heads, and front a...

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