hdl_people_tracking
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koide3
Where is SVM classifier clue on this package?
According to your published paper, the selected classifier is SVM and AdaBoost ([43] Kidono reference), but I cannot find SVM clue on your package.
I found the only AdaBoost model and its code (people_detector.cpp).
We tested several classifiers (SVM, AdaBoost, RandomForest) with Kidono's features. Since AdaBoost showed a bit better accuracy than the other ones, in this work, we are using AdaBoost instead of SVM.
Since I did it a few years ago, and I left my former university last year, I'm not sure if I can find the SVM model... If you want, I can share the dataset I used to train the classifiers so that you can train the model by yourself.
Another question:
What are the extracted features on this project? And are these features the same in AdaBoost and SVM?
We are using the features proposed in the following paper: Kidono et al., Pedestrian Recognition Using High-definition LIDAR, IV, 2011
You can extract the features from a point cloud with this code. https://github.com/koide3/hdl_people_tracking/blob/master/include/hdl_people_detection/kidono_feature_extractor.hpp
Here, you can find the dataset for pedestrian detection. It consists of KITTI, sydney, and our own dataset. To avoid some copyright problems, I put only the extracted features saved in the libsvm format.
https://drive.google.com/open?id=1ovFA9gwjo1zD6cj_q0dnGFR6XYapxbxk
I would also like to know how to train on custom data(AdaBoost, RandomForest), any guidance to save hours reverse understanding the code would be great. Thank you very much!!
This package uses the standard cv::ml model, and you can replace it with any custom model you want to use. https://github.com/koide3/hdl_people_tracking/blob/master/src/kidono_human_classifier.cpp
@koide3 Thanks for your response. However, I wish you had answered in 2019 :grinning:
@koide3 Hello, I have another question to ask you, is the feature format of adaboost the same as libsvm? I want to train an adaboost model, how can I use kidono_feature_extractor.hpp to extract features? Thank you very much!!