Ask Your Question

Revision history [back]

click to hide/show revision 1
initial version

ANDROID: Using 20+ CascadeClassifiers to detect different objects in camera frames. Is realtime still possible?

hey there.

as you can see from my past questions, im currently working on an app that detects different buttons in a car. im using CameraBridgeViewBase / JavaCameraView to grab frames from the camera. well, in the onCameraFrame()-method i let my detectors try to detect the objects that they were trained for. currently i only got 2 trained classifiers and i get about 15 fps on older devices and about 30 fps on newer devices.

my question: will i still be able to get those FPS when im using 20 or more classifiers (each trained for one button) in this method to detect all the different buttons the could appear in a picture?

ANDROID: Using 20+ CascadeClassifiers to detect different objects in camera frames. Is realtime still possible?

hey there.

as you can see from my past questions, im currently working on an app that detects different buttons in a car. im using CameraBridgeViewBase / JavaCameraView to grab frames from the camera. well, in the onCameraFrame()-method i let my detectors try to detect the objects that they were trained for. currently i only got 2 trained classifiers and i get about 15 fps on older devices and about 30 fps on newer devices.

my question: will i still be able to get those FPS when im using 20 or more classifiers (each trained for one button) in this method to detect all the different buttons the could appear in a picture?picture or will that many classifiers slow down the program? i am using a very small area inside each frame that will be checked for buttons only to avoid unnecessary time loss.