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vehicleDetectorACF

Load vehicle detector using aggregate channel features

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Syntax

detector = vehicleDetectorACF
detector = vehicleDetectorACF(modelName)

Description

detector = vehicleDetectorACF returns a pretrained vehicle detector using aggregate channel features (ACF). The returned acfObjectDetector object is trained using unoccluded images of the front, rear, left, and right sides of the vehicles.

example

detector = vehicleDetectorACF(modelName) returns a pretrained vehicle detector based on the model specified in modelName. A 'full-view' model uses training images that are unoccluded views from the front, rear, left, and right sides of vehicles. A 'front-rear-view' model uses images only from the front and rear sides of the vehicle.

Examples

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Open Live Script

Load the pre-trained detector for vehicles

detector = vehicleDetectorACF('front-rear-view');

Load an image and run the detector.

I = imread('highway.png');
[bboxes,scores] = detect(detector,I);

Overlay bounding boxes and scores for vehicles detected in the image.

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

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

Input Arguments

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Type of vehicle detector model, specified as either 'front-rear-view' or 'full-view'. A 'full-view' model uses training images that are unoccluded views from the front, rear, left, and right sides of vehicles. A 'front-rear-view' model uses images only from the front and rear sides of the vehicle.

Data Types: char | string

Output Arguments

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Trained ACF-based object detector, returned as an acfObjectDetector object.

Version History

Introduced in R2017a

See Also

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