A pedestrian tracking and counting method for a near-front top-view monitoring video, comprising: acquiring a video image under a current monitoring scene; comparing the video image with a background image, and when it is determined that the video image is a foreground image, detecting blobs, splitting and combining each blob in the foreground image to acquire a target blob representing an individual pedestrian; performing tracking and counting according to a centre-of-mass coordinate of each target blob in a detection area to acquire the number of pedestrians under the current monitoring scene; wherein splitting each blob in the foreground image comprises: splitting a blob having a width of a circumscribed rectangle of the blob greater than twice a threshold T W of a width of an individual by equal width according to T W; splitting a blob having a height of a circumscribed rectangle of the blob greater than twice a threshold T H of a height of an individual by equal height according to T H; deleting a blob having an area smaller than a predetermined threshold, wherein the blob is acquired after the splitting; wherein combining each blob in the foreground image comprises: combining two blobs having a centre-of-mass horizontal distance not exceeding T W and a centre-of-mass longitudinal distance not exceeding T H; dividing a width of a circumscribed rectangle of each acquired combined blob by T W and then performing rounding to acquire N W, and dividing a height of the circumscribed rectangle by T H and then performing rounding to acquire N H; determining whether N W and N H of each combined blob are smaller than 2 respectively; if greater than 2, then splitting the combined blob; if smaller than 2, then retaining the combined blob; and repeating the three foregoing steps until all blobs are combined. acquiring a video image under a current monitoring scene; comparing the video image with a background image, and when it is determined that the video image is a foreground image, detecting blobs, splitting and combining each blob in the foreground image to acquire a target blob representing an individual pedestrian; performing tracking and counting according to a centre-of-mass coordinate of each target blob in a detection area to acquire the number of pedestrians under the current monitoring scene; wherein splitting each blob in the foreground image comprises: splitting a blob having a width of a circumscribed rectangle of the blob greater than twice a threshold T W of a width of an individual by equal width according to T W; splitting a blob having a height of a circumscribed rectangle of the blob greater than twice a threshold T H of a height of an individual by equal height according to T H; deleting a blob having an area smaller than a predetermined threshold, wherein the blob is acquired after the splitting; wherein combining each blob in the foreground image comprises: combining two blobs having a centre-of-mass horizontal distance not exceeding T W and a centre-of-mass longitudinal distance not exceeding T H; dividing a width of a circumscribed rectangle of each acquired combined blob by T W and then performing rounding to acquire N W, and dividing a height of the circumscribed rectangle by T H and then performing rounding to acquire N H; determining whether N W and N H of each combined blob are smaller than 2 respectively; if greater than 2, then splitting the combined blob; if smaller than 2, then retaining the combined blob; and repeating the three foregoing steps until all blobs are combined. splitting a blob having a width of a circumscribed rectangle of the blob greater than twice a threshold T W of a width of an individual by equal width according to T W; splitting a blob having a height of a circumscribed rectangle of the blob greater than twice a threshold T H of a height of an individual by equal height according to T H; deleting a blob having an area smaller than a predetermined threshold, wherein the blob is acquired after the splitting; wherein combining each blob in the foreground image comprises: combining two blobs having a centre-of-mass horizontal distance not exceeding T W and a centre-of-mass longitudinal distance not exceeding T H; dividing a width of a circumscribed rectangle of each acquired combined blob by T W and then performing rounding to acquire N W, and dividing a height of the circumscribed rectangle by T H and then performing rounding to acquire N H; determining whether N W and N H of each combined blob are smaller than 2 respectively; if greater than 2, then splitting the combined blob; if smaller than 2, then retaining the combined blob; and repeating the three foregoing steps until all blobs are combined. combining two blobs having a centre-of-mass horizontal distance not exceeding T W and a centre-of-mass longitudinal distance not exceeding T H; dividing a width of a circumscribed rectangle of each acquired combined blob by T W and then performing rounding to acquire N W, and dividing a height of the circumscribed rectangle by T H and then performing rounding to acquire N H; determining whether N W and N H of each combined blob are smaller than 2 respectively; if greater than 2, then splitting the combined blob; if smaller than 2, then retaining the combined blob; and repeating the three foregoing steps until all blobs are combined.