The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Real time face and object tracking as a component of a perceptual user interface
Abstract
As a step towards a perceptual user interface, an object tracking algorithm is developed and demonstrated tracking human faces. Computer vision algorithms that are intended to form part of a perceptual user interface must be fast and efficient. They must be able to track in real time and yet not absorb a major share of computational resources. An efficient, new algorithm is described here based on the mean shift algorithm. The mean shift algorithm robustly finds the mode (peak) of probability distributions. We first describe histogram based methods of producing object probability distributions. In our case, we want to track the mode of an object's probability distribution within a video scene. Since the probability distribution of the object can change and move dynamically in time, the mean shift algorithm is modified to deal with dynamically changing probability distributions. The modified algorithm is called the Continuously Adaptive Mean Shift (CAMSHIFT) algorithm. CAMSHIFT is then used as an interface for games and graphics.
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Citations
Cites
Segmentation and tracking of faces in color images
Sobottka, K., & Pitas, I. (2002) · Proceedings of the Second International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.1996.557270 · Cited by 157
Cited by
Comaniciu, D., Ramesh, V., & Meer, P. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1195991 · Cited by 4,560
Online selection of discriminative tracking features
Collins, R. T., Liu, Y., & Leordeanu, M. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.205 · Cited by 1,208
A survey of appearance models in visual object tracking
Li, X., Hu, W., Shen, C., Zhang, Z., Dick, A., & Hengel, A. V. D. (2013) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2508037.2508039 · Cited by 705
Metadata
- Authors
- Bradski, G. R.
- Venue
- Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201)
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-27
- Pages
- 214-219
- ISSN
- 1550-5790 (ISSN-L)
- OpenAlex
- W2121836097
- Cited by
- 627
- References
- 1
- FWCI
- 11.26
- Type
- conference paper
- Language
- en
- Open access
- closed
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