Abstract: A particle filter is suitable for performing particle filtering on a frame to track a particular object in the frame. The particle filter includes a frame cache, an observation model generator, and a particle filter controller. The frame cache is connected to a system memory through a system bus, in which the system memory stores all image blocks of the frame; and the frame cache obtains the at least one image block of the frame from the system memory and stores the obtained image block. The observation model generator reads at least one pixel from the frame cache, and generates an observation model corresponding to the object and the read image block according to the read pixel. The particle filter controller obtains the observation model from the observation model generator, and determines and outputs an object tracking result of the object according to the observation model.

Abstract: A method and an electronic device for reducing digital image noises are described. The method includes the steps of sequentially selecting a pixel from a digital image, and setting the pixel as a target pixel; defining a first area, and setting at least two of the rest pixels surrounding the target pixel in the first area as adjacent pixels; setting a first weighted area; setting a second weighted area corresponding to the first weighted area; computing a weight of the adjacent pixel located at a center position of the second weighted area by using a piecewise linear curve according to a similarity value of the first weighted area and the second weighted area; computing a weighted average of all the adjacent pixels and the target pixel, to determine a new value of the target pixel; and performing the above steps repeatedly, till all the pixels are processed.

Abstract: A hybrid connected component labeling process for analyzing digitized or binary images includes the following steps. Firstly, a forward scan is executed to assign a forward label to each foreground pixel in the image. Then, a backward scan is executed to assign a backward label to each foreground. The backward labels are rearranged and label connection is recorded. A label allocation table including final labels and reference labels is provided for recording the use of the labels. When an object is considered as noise, the label corresponds to the pixels of the object is released by updating the label allocation table.

Abstract: An exposure control method adjusts an exposure setting used for capturing an image including a foreground object and a background. The foreground object is extracted from the image by an object detection procedure. If the area of the foreground object is greater than a predetermined area value, the brightness of both the foreground object and the background is analyzed. On the contrary, if the area of the foreground object is not greater than the predetermined area value, only the brightness of the background is analyzed. The exposure setting is adjusted according to the analysis result. Accordingly, greater brightness stability is provided during the capture of the following images.