Abstract: An object detection method of effectively increasing identification accuracy is applied to a camera apparatus and includes acquiring a reference image and a second reference image containing a specific surveillance area respectively via a first exposure parameter and a second exposure parameter greater than the first exposure parameter, utilizing the first exposure parameter and the second exposure parameter to respectively capture a first detection image and a second detection image during an object detection period, computing a first pixel value variation between the first reference image and the first detection image and a second pixel value variation between the second reference image and the second detection image, and comparing the first pixel value variation with the second pixel value variation to determine whether a target object is within the specific surveillance area.

Abstract: A security camera with a motion detection function, which comprises: an image sensor, configured to capture original images; a variation level computation circuit, configured to compute image variation levels of the original images; a long term computation circuit, configured to calculate a first average level for the image variation levels corresponding to M of the original images; a short term computation circuit, configured to calculate a second average level for the image variation levels corresponding to N of the original images, wherein M>N; and a motion determining circuit, configured to determine whether a motion of an object appears in a detection range of the image sensor according to a relation between the first average level and the second average level. By such security camera, the interference caused by noise or small object can be avoided. Accordingly, the motion detection of the security camera can be more accurate.

Abstract: A method of identifying a false alarm of an optical motion sensor including a plurality of pixel units, includes: receiving pixel values of a testing set of pixel units selected from the plurality of pixel units, and a number of pixels of the testing set is smaller than a number of the plurality of pixel units; and performing a background adjustment operation according to the pixel values of the testing set of pixel units.

Abstract: A method of an optical sensor device includes: automatically entering a calibration mode to automatically define a region of interest as a masking region; and, selectively ignoring a motion detected within the masking region when the optical sensor device is in a normal operation mode.

Abstract: There is provided an optical navigation device including an image sensor and a processing unit. The image sensor outputs successive image frames. The processing unit calculates a contamination level and a motion signal based on filtered image frames, and determines whether to update a fixed pattern noise (FPN) stored in a frame buffer according to a level of FPN subtraction, the calculated contamination level and the calculated motion signal to optimize the update of the fixed pattern noise.

Abstract: A computer readable recording medium storing at least one program, wherein an image quality improvement method is performed when the program is executed. The image quality improvement method comprising: (a) classifying data units of a target image to normal data units and abnormal data units based on relations between brightness values of the data units and a classification parameter, wherein the classification parameter is related with an image quality of the target image or the brightness values of the data units; and (b) adjusting the brightness values of the abnormal data units based on an adjusting parameter to generate adjusted brightness values, such that differences between the adjusted brightness values and the brightness values of the normal data units are reduced. An optical navigation method using the image quality improvement method is also disclosed.

Abstract: There is provided an optical navigation device including an image sensor and a processing unit. The image sensor outputs successive image frames. The processing unit calculates a contamination level and a motion signal based on filtered image frames, and determines whether to update a fixed pattern noise (FPN) stored in a frame buffer according to a level of FPN subtraction, the calculated contamination level and the calculated motion signal to optimize the update of the fixed pattern noise.

Abstract: There is provided an optical navigation device including an image sensor and a processing unit. The image sensor outputs successive image frames. The processing unit calculates a contamination level and a motion signal based on filtered image frames, and determines whether to update a fixed pattern noise (FPN) stored in a frame buffer according to a level of FPN subtraction, the calculated contamination level and the calculated motion signal to optimize the update of the fixed pattern noise.

Abstract: An object detection method of effectively increasing identification accuracy is applied to a camera apparatus and includes acquiring a reference image and a second reference image containing a specific surveillance area respectively via a first exposure parameter and a second exposure parameter greater than the first exposure parameter, utilizing the first exposure parameter and the second exposure parameter to respectively capture a first detection image and a second detection image during an object detection period, computing a first pixel value variation between the first reference image and the first detection image and a second pixel value variation between the second reference image and the second detection image, and comparing the first pixel value variation with the second pixel value variation to determine whether a target object is within the specific surveillance area.

Abstract: There is provided a frame rate adjusting method of a navigation device including: counting a frame period using a clock of a local oscillator of the navigation device; counting a polling period using the same clock; calculating a difference between the frame period and the polling period; adjusting a frame rate of the navigation device when the difference is smaller than a predetermined margin.

Abstract: A computer readable recording medium storing at least one program, wherein an image quality improvement method is performed when the program is executed. The image quality improvement method comprising: (a) classifying data units of a target image to normal data units and abnormal data units based on relations between brightness values of the data units and a classification parameter, wherein the classification parameter is related with an image quality of the target image or the brightness values of the data units; and (b) adjusting the brightness values of the abnormal data units based on an adjusting parameter to generate adjusted brightness values, such that differences between the adjusted brightness values and the brightness values of the normal data units are reduced. An optical navigation method using the image quality improvement method is also disclosed.

Abstract: A method of an optical sensor device includes: automatically entering a calibration mode to automatically define a region of interest as a masking region; and, selectively ignoring a motion detected within the masking region when the optical sensor device is in a normal operation mode.

Abstract: There is provided a frame rate adjusting method of a navigation device including: counting a frame period using a clock of a local oscillator of the navigation device; counting a polling period using the same clock; calculating a difference between the frame period and the polling period; adjusting a frame rate of the navigation device when the difference is smaller than a predetermined margin.

Abstract: There is provided a 2-stage moving average filter for a navigation device including a delta regulator and an N-taps average circuit. The delta regulator is used as a first stage to receive motion delta at a varied frequency, and combine or split the received motion delta to output a regulated motion delta at a fixed frequency. The N-taps average circuit receives and averages N regulated motion delta and outputs the averaged motion delta at a fixed frequency.

Abstract: There is provided a navigation device including an image sensor, an analog to digital converter and a processor. The image sensor is used to output an analog image using an exposure time. The analog to digital converter is used to convert the analog image to a digital image using a resolution. The processor is used to identify an image quality of the digital image, and adjust at least one of the exposure time of the image sensor and the resolution of the analog to digital converter according to the image quality thereby adjusting the operation power by changing data length actually processed by the processor.

Abstract: There is provided a frame rate adjusting method of a navigation device including: counting a frame period using a clock of a local oscillator of the navigation device; counting a polling period using the same clock; calculating a difference between the frame period and the polling period; adjusting a frame rate of the navigation device when the difference is smaller than a predetermined margin.

Abstract: There is provided a navigation device including an image sensor and a processor. The image sensor outputs a reference frame and a comparison frame. The processor calculates a correlation search window by changing a relative position of the comparison frame with respect to the reference frame. The processor ignores a part of pixel data of the comparison frame without being processed while calculating each correlation value of the correlation search window to reduce total computation load.

Abstract: There is provided an optical navigation device including an image sensor and a processing unit. The image sensor outputs successive image frames. The processing unit calculates a contamination level and a motion signal based on filtered image frames, and determines whether to update a fixed pattern noise (FPN) stored in a frame buffer according to a level of FPN subtraction, the calculated contamination level and the calculated motion signal to optimize the update of the fixed pattern noise.

Abstract: There is provided an optical navigation device including an image sensor and a processing unit. The image sensor outputs successive image frames. The processing unit calculates a contamination level and a motion signal based on filtered image frames, and determines whether to update a fixed pattern noise (FPN) stored in a frame buffer according to a level of FPN subtraction, the calculated contamination level and the calculated motion signal to optimize the update of the fixed pattern noise.

Abstract: There is provided a frame rate adjusting method of a navigation device including: counting a frame period using a clock of a local oscillator of the navigation device; counting a polling period using the same clock; calculating a difference between the frame period and the polling period; adjusting a frame rate of the navigation device when the difference is smaller than a predetermined margin.