Flylib.com

Books Software

 
 
 

6. Playfield Zone Classification


6. Playfield Zone Classification

The soccer playfield has been divided in 12 zones, 6 for each side (Figure 5.14). These zones have been chosen so that the change from one to the other indicates a change in the action shown, such as a defense action that changes into a counter-attack, or an attack that enters the goal box. Moreover it must be noted that typical camera views are associated with the selected zones. In some cases the zones can't be recognized from simple image analysis (e.g., zones near the center of the playfield), but the temporal analysis solves this problem.

click to expand
Figure 5.14: Playfield zones; Z7 to Z12 are symmetrical.

The features used to recognize the playfield zones are playfield lines and the playfield shape. Figure 5.15 shows an example of extraction of playfield shape and playfield lines. From these features we calculate a five elements vector composed by the following elements:

  • playfield shape descriptor F: six different views of the playfield are recognized. They are shown in Figure 5.16 a);

    click to expand
    Figure 5.16: (a) Playfield shape descriptor F. (b) Playfield line orientation descriptor O.

  • playfield line orientation descriptor O: playfield lines are extracted, and their directions are quantized in 32 bins. These bins are grouped to calculate the number of horizontal and vertical lines, and the number of lines whose angle is greater or smaller than the specified line orientation descriptor, as shown in Figure 5.16 b);

  • playfield size descriptor R: this descriptor signals if the percentage of pixels of a frame, that belong to the playfield, is above a threshold;

  • {% if main.adsdop %}{% include 'adsenceinline.tpl' %}{% endif %}

    playfield corner position C: this descriptor may assume 4 values: absence of playfield corner in the image, or presence of one of three possible positions of the playfield corner that is farthest from the camera, as shown in Figure 5.17 a);

    click to expand
    Figure 5.17: (a) Playfield corner position descriptor C. (b) Midfield line descriptor M.

  • midfield line descriptor M: this descriptor is similar to the C descriptor, but it indicates the presence and type of the midfield line (Figure 5.17b).

click to expand
Figure 5.15: Original image, playfield shape and lines in soccer.

A Nave Bayes classifier has been used to classify each playfield zone Zx. This choice is motivated by the fact that: i) we are interested in confidence values for each zone, to handle views that are not easily classified ; ii) some descriptors are not useful for some zones (e.g., the C descriptor is not useful for the midfield zone); iii) some zones are mutually exclusive and some are not, thus it is not possible to define them as different values of a single variable. In Figure 5.18 the classifiers for Z1 and Z6 are shown. It must be noted that in some cases some values of the descriptors correspond to a single value of the variable of the classifier, e.g.,:

click to expand
Figure 5.18: Nave Bayes networks— Z1 and Z6 zone classifiers.

Playfield zone classification is performed through the following steps: playfield lines and shape are extracted from the image, descriptors are then calculated and the observation values of the classifier variables are selected. The classifier with the highest confidence value (if above a threshold) is selected.



7. Camera Motion Analysis

As noted in section 5, camera parameters are strongly related to ball movement. Pan, tilt and zoom values are calculated for each shot, using techniques shown in section 3. The curves of these values are filtered and quantized, using 5 levels for pan, 3 for tilt and zoom. Analysis of the videos has shown that conditions such as a flying ball rather than a change of direction can be observed from camera motion parameters. Through heuristic analysis of these values, three descriptors of lo w, m edium and high ball motion have been derived. Figure 5.19 shows a typical shot action: at time t start a player kicks the ball toward the goal post. Acceleration and deceleration (at time t OK ) can be identified. Often zoom on the goal post can be observed.

click to expand
Figure 5.19: Typical shot action— at time t start the ball is kicked toward the goal post. Symbols on the right identify low, medium and high motion.