Abstract
Applications within the field of Looking at People only make sense when the analyzed imagery contains one or more humans. The first step in such systems is therefore to determine if one or more humans are present and where in the scene they are. Moreover, since many applications require a number of consecutive frames containing people in order to do any processing, tracking of individuals is often a requirement. This part provides an overview of detection and tracking methods though six different chapters ranging from body and face detection, over tracking of multiple people to an overview of public benchmarking datasets for evaluation. This first chapter in this part introduces the remaining chapters and finally provides pointers to possible future research directions within these fields.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bar-Shalom, Y., Fortmann, T.E.: Tracking and Data Association. Academic Press, Boston (1988)
Bradski, G., Kaehler, A.: Learning Opencv. O’Reilly Media Inc., Sebastopol (2008). http://oreilly.com/catalog/9780596516130
Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: IEEE Computer Vision and Pattern Recognition (2005)
Doshi, A., Trivedi, M.M.: Satellite imagery based robust, adaptive background models and shadow suppression. J. VLSJ Signal Process. 1(2), 119–132 (2007)
Ferrari, V., Marin, M., Zisserman, A.: Progressive search space reduction for human pose estimation. In: IEEE Conference on Computer Vision and Pattern Recognition (2008)
Fihl, P., Corlin, R., Park, S., Moeslund, T.B., Trivedi, M.M.: Tracking of individuals in very long video sequences. In: International Symposium on Visual Computing, Lake Tahoe, Nevada, USA (2006)
Grimson, W.E.L., Stauffer, C.: Adaptive background mixture models for real-time tracking. In: IEEE Conference on Computer Vision and Pattern Recognition (1999)
Huerta, I., Holte, M., Moeslund, T.B., Gonzà lez, J.: Detection and removal of chromatic moving shadows in surveillance scenarios. In: International Conference on Computer Vision, Kyoto, Japan (2009)
Kim, K., Chalidabhongse, T.H., Harwood, D., Davis, L.: Background modeling and subtraction by codebook construction. In: International Conference on Image Processing (2004)
Moeslund, T.B., Hilton, A., Krüger, V.: A survey of advances in vision-based human motion capture and analysis. Comput. Vis. Image Underst. 104, 90–126 (2006)
Prati, A., Mikic, I., Trivedi, M.M., Cucchiara, R.: Detecting moving shadows: Algorithms and evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 25(7), 918–923 (2003)
Rother, C., Kolmogorov, V., Blake, A.: Grabcut: Interactive foreground extraction using iterated graph cuts. In: ACM SIGGRAPH (2004)
Stalder, S., Grabner, H., Van Gool, L.: Cascaded confidence filter for improved tracking-by-detection. In: European Conference on Computer Vision (2010)
Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: IEEE Computer Vision and Pattern Recognition, pp. 511–518 (2001)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag London Limited
About this chapter
Cite this chapter
Moeslund, T.B. (2011). Is There Anybody Out There?. In: Moeslund, T., Hilton, A., Krüger, V., Sigal, L. (eds) Visual Analysis of Humans. Springer, London. https://doi.org/10.1007/978-0-85729-997-0_1
Download citation
DOI: https://doi.org/10.1007/978-0-85729-997-0_1
Publisher Name: Springer, London
Print ISBN: 978-0-85729-996-3
Online ISBN: 978-0-85729-997-0
eBook Packages: Computer ScienceComputer Science (R0)