Image capturing device and motion tracking method

1. Technical Field

Embodiments of the present disclosure relate generally to surveillance technology, and more particularly, to an image capturing device and a motion tracking method using the image capturing device.

2. Description of Related Art

Cameras installed on a track system have been used to perform security surveillance by capturing images of a monitored area. A typical camera installed on the track system can automatically and can regularly move along the track system but cannot move according to specific movements.

FIG. 1 is a block diagram of one embodiment of an image capturing device.

FIG. 2 is a schematic diagram illustrating one example of the image capturing device installed on a track system.

FIGS. 3A-3C are schematic diagrams of one embodiment of controlling movements of the image capturing device along the track system according to a specific motion.

FIGS. 4A-4B are schematic diagrams of one embodiment of zooming in a lens of the image capturing device.

FIG. 5 is a flowchart of one embodiment of a motion tracking method using the image capturing device of FIG. 1 .

The disclosure, including the accompanying drawings, is illustrated by way of example and not by way of limitation. It should be noted that references to “an” or “one” embodiment in this disclosure are not necessarily to the same embodiment, and such references mean at least one.

FIG. 1 is a block diagram of one embodiment of an image capturing device 1 . In the embodiment, the image capturing device 1 includes a lens 10 , a driving device 11 , a processor 12 , and a storage system 13 . The image capturing device 1 may further include a capturing module 101 , a detection module 102 , a determination module 103 , and an execution module 104 . It should be apparent that FIG. 1 is only one example of the image capturing device 1 that can be included with more or fewer components than shown in other embodiments, or a different configuration of the various components.

Each of the modules 101 - 104 may include one or more computerized instructions in the form of one or more programs that are stored in the storage system 13 or a computer-readable medium, and executed by the processor 12 to perform operations of the image capturing device 1 . In general, the word “module”, as used herein, refers to logic embodied in hardware or firmware, or to a collection of software instructions, written in a programming language, such as, Java, C, or Assembly. One or more software instructions in the modules may be embedded in firmware, such as EPROM. The modules described herein may be implemented as either software and/or hardware modules and may be stored in any type of computer-readable medium or other storage device.

Referring to FIG. 2 , the image capturing device 1 is installed on a track system 3 . The track system 3 comprises one or more tracks, and the image capturing device 1 can be controlled to move along the tracks according to a specific motion that is detected in a monitored area, such as movements of people. In one embodiment, the image capturing device 1 may be a speed dome camera or a pan/tilt/zoom (PTZ) camera, for example. The track system 3 may be installed on the top of the monitored area or other suitable locations.

The lens 10 may include a charge coupled device (CCD) for capturing images of the monitored area. The monitored area may be the interior of a warehouse, a supermarket, a bank, or other place to be monitored. The driving device 11 may be used to drive the image capturing device 1 to move along the tracks of the track system 3 . In one embodiment, the driving device 11 may be composed of one or more servo motors.

The capturing module 101 is operable to capture images of the monitored area using the lens 10 in real-time. In the embodiment, the capturing module 101 may capture an image of the monitored area at regular intervals, such as, one second, or two seconds.

The detection module 102 is operable to analyze the captured images to check for motion in the monitored area. In the embodiment, the motion may be defined as movements of people in the monitored area. The captured images are two dimension (2D) images. The detection module 102 may use a 2D image analysis method to analyze the images. In one embodiment, the 2D image analysis method may be a template matching method using a neural network training algorithm or an adaptive boosting (AdaBoost) algorithm. A detailed description is provided as follows.

The detection module 102 may compare each of the captured images with a plurality of 2D templates of people to check for a region that is the same as or similar to any one of the templates. In the embodiment, the 2D templates of people may be pre-collected and stored in the storage system 13 . When a region that is checked is the same or similar to any one of the templates, a person is detected in the monitored area. Then the detection module 102 extracts the region from one of the captured images of the monitored area in which the person is detected.

The determination module 103 is operable to determine a movement direction of the motion when the motion is detected in the monitored area. In the embodiment, the determination module 103 may determine the movement direction of the motion by comparing positions of the motion within two images of the monitored area consecutively captured by the lens 10 .

The execution module 104 is operable to control the image capturing device 1 to move along the track system 3 to track the motion according to the movement direction using the driving device 11 . For example, if a person moves towards the left of the monitored area, the execution module 104 may control the image capturing device 1 to move towards the left of the track system 3 . If the person moves towards the right of the monitored area, the execution module 104 may control the image capturing device 1 to move towards the right of the track system 3 .

Referring to FIGS. 4A-4C , the image capturing device 1 moves from a first position “A 1 ” to a second position “A 2 ” along the track system 3 when a person 4 moves towards the right of the monitored area. Then, the image capturing device 1 further moves from the second position “A 2 ” to a third position “A 3 ” along the track system 3 when the person 4 further moves towards the right.

FIG. 5 is a flowchart of one embodiment of a motion tracking method using the image capturing device 1 of FIG. 1 . Depending on the embodiment, additional blocks may be added, others removed, and the ordering of the blocks, may be changed.

In block S 01 , the capturing module 101 captures images of the monitored area using the lens 10 in real-time. In the embodiment, the capturing module 101 may capture an image of the monitored area at regular intervals, such as, one second, or two seconds.

In block S 02 , the detection module 102 analyzes the captured images to check for motion in the monitored area. In block S 03 , the detection module 102 determines whether motion is detected in the monitored area. If motion is detected in the monitored area, block S 04 is implemented. Otherwise, if no motion is detected in the monitored area, block S 02 is repeated.

In block S 04 , the determination module 103 determines a movement direction of the motion. In the embodiment, the determination module 103 may determine the movement direction of the motion by comparing positions of the motion within two images of the monitored area that are consecutively captured by the lens 10 .

In block S 05 , the extraction module 104 controls the image capturing device 1 to move along the track system 3 to track the motion using the driving device 11 according to the movement direction of the motion. Details of controlling the movement of the image capturing device 1 have been provided above.

In other embodiments, the detection module 102 further extracts a smallest rectangle enclosing the motion from a current image of the monitored area, and determines whether a ratio of the smallest rectangle within the current image is less than a preset value (e.g., 20%) after the image capturing device 1 has been controlled to move. If the ratio of the smallest rectangle within the current image is less than the preset value, the execution module 104 further controls the image capturing device 1 to pan and/or tilt the lens 10 until a center of the smallest rectangle is coincident with a center of the current image of the monitored area. In order to obtain a zoomed image of the motion, the execution module 104 further controls the image capturing device 1 to zoom in the lens 10 until the ratio of the smallest rectangle within the current image is equal to or greater than the preset value. As an example, referring to FIGS. 4A-4B , “D 1 ” represents an image of the monitored area captured by the lens 10 when a person 4 is detected from the monitored area. “D 2 ” represents another image of the monitored area captured by the lens 10 when the lens 10 is zoomed in.

Although certain embodiments of the present disclosure have been specifically described, the present disclosure is not to be construed as being limited thereto. Various changes or modifications may be made to the present disclosure without departing from the scope and spirit of the present disclosure.