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A natural man-machine interface requires gesture recognition. In gesture-recognition technologies, extraction of the target image (for example a hand or an arm) from its background images is the most important technology. Generally, gesture recognition requires 3D extraction at over 60 frames/s. However, extraction frame rate has been slow. Here, real-time 3D object extraction is by a recognition system which consists of a CMOS image sensor and infrared light emitting diodes (LED). The CMOS image sensor features two storage capacitors per pixel, on-chip column differential circuits, and 8b analog-to-digital converter (ADC). The extraction camera with LEDs and the CMOS sensor produces a high-quality 3D image using a 3.3V supply and consuming 50mW for the image sensor.