The RoboCup Rescue Victim Dataset

In this paper, we introduce a victim dataset for the RoboCup Rescue competitions. The RoboCup Rescue robots have to collect points within several disciplines, e.g. a search task within an area to survey simulated baby doll (victim). When a robot comes across a victim, a heat detector does not completely proof if this is a living being and not just a heat emitting somewhat else. Further investigations are necessary so that a face detection could prove the existence of a victim. Lots of face detection approaches can be found in literature, which manly are used for human face recognition. These cannot be straightforward used for victim faces which are, in case of the RoboCup Rescue competitions, typically dolls. Thus we present the results of standard approaches and developed an own approach via bag-of-visual-words (BoVW).

[1]  Limin Wang,et al.  Bag of visual words and fusion methods for action recognition: Comprehensive study and good practice , 2014, Comput. Vis. Image Underst..

[2]  Mohammad Haghighat,et al.  Biometrics for cybersecurity and unconstrained environments , 2016 .

[3]  David Declercq,et al.  Geometrical and Visual Feature Quantization for 3D Face Recognition , 2017, VISIGRAPP.

[4]  Tom Fawcett,et al.  An introduction to ROC analysis , 2006, Pattern Recognit. Lett..

[5]  Alice Caplier,et al.  Improving Bag-of-Visual-Words Towards Effective Facial Expressive Image Classification , 2018, VISIGRAPP.

[6]  Erkan Uslu,et al.  RoboCup Rescue 2016 Team Description Paper , 2016 .

[7]  S. P. Lloyd,et al.  Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.

[8]  Bin Yang,et al.  Aggregate channel features for multi-view face detection , 2014, IEEE International Joint Conference on Biometrics.

[9]  Arnoud Visser,et al.  16 Years of RoboCup Rescue , 2016, KI - Künstliche Intelligenz.

[10]  Cordelia Schmid,et al.  Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[11]  Geert De Cubber,et al.  Human Victim Detection , 2008 .

[12]  Chokri Ben Amar,et al.  A survey of extended methods to the bag of visual words for image categorization and retrieval , 2014, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

[13]  Antonio Torralba,et al.  LabelMe: A Database and Web-Based Tool for Image Annotation , 2008, International Journal of Computer Vision.

[14]  Roland Siegwart,et al.  BRISK: Binary Robust invariant scalable keypoints , 2011, 2011 International Conference on Computer Vision.

[15]  Xiang Zhang,et al.  OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks , 2013, ICLR.

[16]  Trevor Darrell,et al.  The pyramid match kernel: discriminative classification with sets of image features , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[17]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[18]  Luc Van Gool,et al.  Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..

[19]  Hong Liu,et al.  Sequential Bag-of-Words model for human action classification , 2016, CAAI Trans. Intell. Technol..

[20]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[21]  Jiri Matas,et al.  Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..

[22]  Gang Hua,et al.  A convolutional neural network cascade for face detection , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[23]  Gui-Song Xia,et al.  Bag-of-Visual-Words Scene Classifier With Local and Global Features for High Spatial Resolution Remote Sensing Imagery , 2016, IEEE Geoscience and Remote Sensing Letters.

[24]  D. Sculley,et al.  Web-scale k-means clustering , 2010, WWW '10.

[25]  O. V. Stryk,et al.  RoboCup Rescue 2016 Team Description Paper Hector Darmstadt , 2016 .

[26]  Matthijs C. Dorst.  Distinctive Image Features from Scale-Invariant Keypoints , 2011 .