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peopleDetectorACF

Detect people using aggregate channel features

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Syntax

detector = peopleDetectorACF
detector = peopleDetectorACF(name)

Description

example

detector= peopleDetectorACFreturns a pretrained upright people detector using aggregate channel features (ACF). The detector is anacfObjectDetectorobject, and is trained using the INRIA person data set.

detector= peopleDetectorACF(name)returns a pretrained upright people detector based on the specified modelname.

Examples

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Open Live Script

Load the upright people detector.

detector = peopleDetectorACF;

Read an image. Detect people in the image.

I = imread('visionteam1.jpg'); [bboxes,scores] = detect(detector,I);

Annotate detected people with bounding boxes and their detection scores.

I = insertObjectAnnotation(I,'rectangle',bboxes,scores); figure imshow(I) title('Detected People and Detection Scores')

Figure contains an axes object. The axes object with title Detected People and Detection Scores contains an object of type image.

Input Arguments

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ACF classification model, specified as'inria-100x41'or'caltech-50x21'. The'inria-100x41'model was trained using the INRIA Person data set. The'caltech-50x21'model was trained using the Caltech Pedestrian data set.

Output Arguments

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Trained ACF-based object detector, returned as anacfObjectDetectorobject. The detector is trained to detect upright people in an image.

References

[1] Dollar, P., R. Appel, S. Belongie, and P. Perona. "Fast Feature Pyramids for Object Detection."IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 36, Issue 8, 2014, pp. 1532–1545.

[2] Dollar P., C. Wojek, B. Shiele, and P. Perona. "Pedestrian Detection: An Evaluation of the State of the Art."IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 34, Issue 4, 2012, pp. 743–761.

[3] Dollar, P., C., Wojek, B. Shiele, and P. Perona. "Pedestrian Detection: A Benchmark."IEEE Conference on Computer Vision and Pattern Recognition. 2009.

Version History

Introduced in R2017a

See Also

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