A method for acquiring and processing images for detecting the movement of at least one target in a scene, comprising the following steps of: - acquiring primary depth maps of the scene at successive time intervals by implementing the following sub-steps at each time interval: emission of an infrared light beam which illuminates the scene, detection by an infrared sensor of the infrared light reflected by the scene, processing of the data coming from the infrared sensor and conversion of these data into a primary map composed of a multiplicity of so-called depth pixels each integrating a field depth datum: - acquiring primary images of the scene at successive time intervals by means of a camera, each primary image being composed of a multiplicity of so-called color pixels each integrating a color datum; - determining secondary depth maps by deleting a reference background from the scene on each primary map according to a background subtraction algorithm, each secondary map being composed of a multiplicity of pixels; - temporally synchronizing secondary maps and primary images; said method being characterized in that it includes the following additional steps of: - superposing synchronized secondary maps and primary images to obtain secondary images including so-called target pixels integrating color data and field depth data for the target(s) present in the scene outside the reference background; - comparing successive secondary images to detect the movement of the target(s) present in the scene; in that the step of determining the secondary maps includes a sub-step of assigning one of the following two states to each of the pixels: - a first state for the so-called background pixels corresponding to the pixels deleted on the primary maps by the background subtraction algorithm; and - a second state for the so-called target pixels corresponding to the pixels not deleted on the primary maps by the background subtraction algorithm, said target pixels integrating the corresponding field depth data; and in that the superposition step consists in: - deleting the pixels of the primary images which correspond to the background pixels of the secondary maps; and - integrating the field depth data to the pixels of the primary images which correspond to the target pixels of the secondary maps. - acquiring primary depth maps of the scene at successive time intervals by implementing the following sub-steps at each time interval: emission of an infrared light beam which illuminates the scene, detection by an infrared sensor of the infrared light reflected by the scene, processing of the data coming from the infrared sensor and conversion of these data into a primary map composed of a multiplicity of so-called depth pixels each integrating a field depth datum: - acquiring primary images of the scene at successive time intervals by means of a camera, each primary image being composed of a multiplicity of so-called color pixels each integrating a color datum; - determining secondary depth maps by deleting a reference background from the scene on each primary map according to a background subtraction algorithm, each secondary map being composed of a multiplicity of pixels; - temporally synchronizing secondary maps and primary images; said method being characterized in that it includes the following additional steps of: - superposing synchronized secondary maps and primary images to obtain secondary images including so-called target pixels integrating color data and field depth data for the target(s) present in the scene outside the reference background; - comparing successive secondary images to detect the movement of the target(s) present in the scene; - superposing synchronized secondary maps and primary images to obtain secondary images including so-called target pixels integrating color data and field depth data for the target(s) present in the scene outside the reference background; - comparing successive secondary images to detect the movement of the target(s) present in the scene; in that the step of determining the secondary maps includes a sub-step of assigning one of the following two states to each of the pixels: - a first state for the so-called background pixels corresponding to the pixels deleted on the primary maps by the background subtraction algorithm; and - a second state for the so-called target pixels corresponding to the pixels not deleted on the primary maps by the background subtraction algorithm, said target pixels integrating the corresponding field depth data; - a first state for the so-called background pixels corresponding to the pixels deleted on the primary maps by the background subtraction algorithm; and - a second state for the so-called target pixels corresponding to the pixels not deleted on the primary maps by the background subtraction algorithm, said target pixels integrating the corresponding field depth data; and in that the superposition step consists in: - deleting the pixels of the primary images which correspond to the background pixels of the secondary maps; and - integrating the field depth data to the pixels of the primary images which correspond to the target pixels of the secondary maps. - deleting the pixels of the primary images which correspond to the background pixels of the secondary maps; and - integrating the field depth data to the pixels of the primary images which correspond to the target pixels of the secondary maps.