car detection using open cv

asked 2018-04-26 06:42:38 -0600

holger
364 ●4 ●13

Hello, After reading ,reading and reading and some working code i want to take some steps back and ask some advice. To solve car detection i currently see two way

Training (several) cascade classifiers
Import a dnn with ssd capability and get the detection results from it

Is training classifiers any good for this kind of object(car)? Should i stick to the dnn - this gives me the most accurate results right now.

Thanks a lot, Greetings, Holger

answered 2018-04-27 06:22:47 -0600

StevenPuttemans

20029 ●16 ●82 ●207 http://stevenputtemans...

Simply said

Basic cascades, like the ones in OpenCV will not be enough for robust car detection.
However there are more advanced cascade based techniques, like ACF / ICF that will do just fine.

Advantage of using DNN, which can be either YOLO or SSD, is that both techniques contain several off-the-shelf models that contain the car class, and thus we can use the models without retraining anything.

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However there are more advanced cascade based techniques, like ACF / ICF that will do just fine Just to clarify, these techniques or not implemented in open cv (yet)?

About DNN: I am using a pretrained model(darknet) - but that has many more classes it will recognize. So i was thinking about retraining(the other question you anwered) that model. Is that still a good idea? Thx, Holger

holger ( 2018-04-27 08:12:46 -0600 )edit

Yes and yes.

StevenPuttemans ( 2018-04-27 13:54:45 -0600 )edit

Thank you. +

holger ( 2018-04-28 02:31:02 -0600 )edit

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