Abstract: A microfluidic device and a biological detection method using the microfluidic device are provided. The microfluidic device includes a sample mixing area, an optical indicator mixing area and an observation area. The sample mixing area stores barcode beads and configured to receive a test sample to mix the barcode beads with the test sample, in which the barcode beads correspond to different detecting targets. The optical indicator mixing area is configured to receive an optical indicator and the barcode beads to mix the barcode beads with the optical indicator. The observation area is configured to receive the barcode beads from the optical indicator mixing area. In the biological detection method, at first, images of the barcode beads are captured. Thereafter, images of reacted barcode beads are determined, and values of barcode patterns thereof are recognized to determine reacting targets of the test sample.

Abstract: A motion object detection method using an adaptive background model and a computer-readable storage medium are provided. In the motion object detection method, a background model establishing step is firstly performed to establish a background model to provide a plurality of background brightness reference values. Then, a foreground object detecting step is performed to use the background model to detect foreground objects. In the background model establishing step, a plurality of brightness weight values are firstly provided in accordance with the brightness of background pixels, wherein each of the brightness weight values is determined in accordance with the relative background pixel. Thereafter, the background brightness reference values are calculated based on the brightness of the background pixels and the brightness weight values. In addition, a computer can perform the motion object detection method after reading the computer-readable storage medium.

Abstract: A motion object detection method using an adaptive background model and a computer-readable storage medium are provided. In the motion object detection method, a background model establishing step is firstly performed to establish a background model to provide a plurality of background brightness reference values. Then, a foreground object detecting step is performed to use the background model to detect foreground objects. In the background model establishing step, a plurality of brightness weight values are firstly provided in accordance with the brightness of background pixels, wherein each of the brightness weight values is determined in accordance with the relative background pixel. Thereafter, the background brightness reference values are calculated based on the brightness of the background pixels and the brightness weight values. In addition, a computer can perform the motion object detection method after reading the computer-readable storage medium.