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System Architecture for Real-Time Face Detection on Analog Video Camera
2015
International Journal of Distributed Sensor Networks
This paper proposes a novel hardware architecture for real-time face detection, which is efficient and suitable for embedded systems. The proposed architecture is based on AdaBoost learning algorithm with Haar-like features and it aims to apply face detection to a low-cost FPGA that can be applied to a legacy analog video camera as a target platform. We propose an efficient method to calculate the integral image using the cumulative line sum. We also suggest an alternative method to avoid
doi:10.1155/2015/251386
fatcat:k2aw5zvzbjfangulcj3eehaajm