Tree-structured Temporal Information for Fast Histogram Computation
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Summary
This paper presents a new method for fast histogram computing based on the known tree-representation histogram of a region, also called reference histogram, and shows theoretically and with experimental results the superiority of this approach in many cases.
- Type
- preprint
- Published
- 2010-01-01
- Cited by
- 0
- References
- 17
- Access
- Open access
- OpenAlex
- https://openalex.org/W52943815
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15662261
Keywords
Histogram, Computer science, Histogram matching, Adaptive histogram equalization, Preprocessor
References
- Median Filtering in Constant Time
- A fast two-dimensional median filtering algorithm
- On Using Histograms of Local Invariant Features for Image Retrieval
- Novel approach to nonlinear/non-Gaussian Bayesian state estimation
- Histogram-based search: A comparative study
- Robust Fragments-based Tracking using the Integral Histogram
- Robust Real-Time Face Detection
- Integral histogram: a fast way to extract histograms in Cartesian spaces
- Robust histogram construction from color invariants
- Shape preserving local histogram modification
- Adaptive Object Tracking Based on an Effective Appearance Filter
- CONDENSATION—Conditional Density Propagation for Visual Tracking
- Monte Carlo filtering for multi target tracking and data association
- Robust Real-time Object Detection
- Color-Based Probabilistic Tracking
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