Text Locating Competition Results
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
On the Design of Cascades of Boosted Ensembles for Face Detection
International Journal of Computer Vision
International Journal of Computer Vision
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
Mobile-based advertisement information retrieval from images and websites
Proceedings of the 20th ACM international conference on Multimedia
Robust real-time detection of multi-color markers on a cell phone
Journal of Real-Time Image Processing
Scale based region growing for scene text detection
Proceedings of the 21st ACM international conference on Multimedia
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Real-time object detection is essential for many computer vision applications. Many rapid detection algorithms are based on using cascades of tests. But existing design criteria for cascades either ignore the time complexity of the tests or make over-simplified assumptions about them. This paper gives a criterion for designing a time-efficient cascade that explicitly takes into account the time complexity of tests (as evaluated by computer run time) including the time for pre-processing. We design a greedy algorithm to minimize this criterion (noting that the full problem is NP-complete). Finally, we illustrate our method on the task of text detection in city scenes. This gives a text detection algorithm that runs at 0.025 seconds per 320脳240 image, which is equivalent to 40 frames per second. This is a speed up factor of 2.5 compared to our previous text detector. It gives a realtime system which can be used for applications to help the blind and visually impaired.