The invention provides an adaptive feature fusion target tracking method. The adaptive feature fusion target tracking method comprises in a first frame image, initializing a target area, and constructing a location filter and a scaling filter; extracting detection samples around a target, respectively calculating an HOG (Histogram of Oriented Gradient) feature and a CN (Color Name) feature, and obtaining a response value through the location filter; calculating the feature weight according to the response value, normalizing the weight coefficient, fusing the feature response value, and selecting the point having the largest response value as the central location of the target; judging whether a shielding phenomenon occurs according to the target response, under the shielding condition, only updating the scaling filter without updating the target location filter, carrying out a circular process, and obtaining the target location of each frame. The adaptive feature fusion target trackingmethod is advantaged in that an adaptive feature fusion method is provided, a model updating strategy based on APCE (Average Peak-to-Correlation Energy) is designed, and the target tracking precisionand the robustness under the shielding condition can be greatly improved.