vehicleDetectorACF

Load vehicle detector using aggregate channel features

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Syntax

detector = vehicleDetectorACF

detector = vehicleDetectorACF(modelName)

Description

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

detector= vehicleDetectorACF(modelName)returns a pretrained vehicle detector based on the model specified inmodelName. 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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Detect Vehicles in Image

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

Input Arguments

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`modelName`—Type of vehicle detector model
`'full-view'`(default) |`'front-rear-view'`

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