快速鲁棒的人脸检测和跟踪框架

Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Pub Date : 2011-11-10 DOI:10.1109/IDAACS.2011.6072790

I. Paliy, V. Dovgan, O. Boumbarov, Stanislav Panev, A. Sachenko, Y. Kurylyak, Diana Zagorodnya

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引用次数: 5

摘要

本文描述了人脸检测与跟踪框架。人脸检测是基于神经网络分类器的组合级联。跟踪是使用卡尔曼滤波执行的。在一个测试视频序列上对该框架进行了实验研究，并对其进行了调整，以获得较高的处理速度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fast and robust face detection and tracking framework

Face detection and tracking framework is described in the paper. Face detection is based on combined cascade of neural network-classifiers. Tracking is performed using Kalman filter. The framework was experimentally researched on a test video sequence and adjusted to obtain high processing speed.

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Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems

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