The training data set employs 857 frontal faces and 3000 negative images. The minimal detection rate is 0.997 and the maximal false positive rate is 0.5 for ...
In this paper we investigate the parallelism in the state-of-the-art AdaBoost-based face detection algorithm and port it to an embedded system for handheld ...
Nov 1, 2010 · In this paper, we design an embedded face detection system for handheld digital cameras or camera phones.
This paper presents adaboost based disguised face discrimination method on embedded devices. The introduced method is simple and fast method for face detection.
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The challenges of face detection in embedded environments include an efficient pipeline design, bandwidth constraints set by low cost memory, a need to find ...
The challenges of face detection in embedded environments include an efficient pipeline design, bandwidth constraints set by low cost memory, a need to find ...
Fingerprint. Dive into the research topics of 'AdaBoost-based face detection for embedded systems'. Together they form a unique fingerprint.
This paper proposes a new embedded system which can selectively detect human faces with fast speed ... AdaBoost Based Face Detection Using Face-Color Preferable ...
This paper presents adaboost based disguised face discrimination method on embedded devices. The introduced method is simple and fast method for face ...
The AdaBoost algorithm is a modified Boosting algorithm, which is a machine learning algorithm for training cascade stronger classifiers based on Haar-like ...