Method and system for detecting moving objects

A moving objects detection system comprising:

• a camera;
• and
• a processing device configured to:
• identify a plurality of feature points based on a plurality of video frames captured by the camera;
• select from the plurality of feature points first and second groups of feature points based on correlations between the plurality of feature points;
• identify in at least one video frame two segments based on the first and the second groups of feature points, respectively, as detected moving objects, where a correlation between two feature points comprises a distance component and a movement difference component, where the distance component is related to a distance between the two feature points, and the movement difference component is related to a difference between corresponding movements of the two feature points;
• determine that the first and the second groups have a common feature point;
• identify a first base point from the first group that represents the feature points of the first group;
• identify a second base point from the second group that represents the feature points of the second group;
• and
• classify the common feature point into the first group in response to determining that the first base point of the first group has a larger correlation with the common feature point than the second base point of the second group.

A non-transitory computer-readable medium storing program instructions that, when executed by a processor, cause the processor to perform the steps of:

• identifying a plurality of feature points based on a plurality of video frames;
• selecting from the plurality of feature points first and second groups of feature points based on correlations between the plurality of feature points;
• identifying in at least one video frame two segments based on the first and the second groups of feature points, respectively, as detected moving objects, where a correlation between two feature points comprises a distance component and a movement difference component, where the distance component is related to a distance between the two feature points, and the movement difference component is related to a difference between corresponding movements of the two feature points;
• determining that the first and the second groups have a common feature point;
• identifying a first base point from the first group that represents the feature points of the first group;
• identifying a second base point from the second group that represents the feature points of the second group;
• and
• classifying the common feature point into the first group in response to determining that the first base point of the first group has a larger correlation with the common feature point than the second base point of the second group.

A method for detecting moving objects, comprising:

• identifying a plurality of feature points based on a plurality of video frames;
• selecting from the plurality of feature points first and second groups of feature points based on correlations between the plurality of feature points;
• and
• identifying in at least one video frame two segments based on the first and the second groups of feature points, respectively, as detected moving objects,
• where a correlation between two feature points comprises a distance component and a movement difference component, where the distance component is related to a distance between the two feature points, and the movement difference component is related to a difference between corresponding movements of the two feature points;
• where the correlation between two feature points is calculated as:
• C
• 12
• =
• exp
• ⁡
• (
• -
• ds
• 12
• σ
• dis
• -
• dv
• 12
• σ
• v
• )
• where C12 represents a correlation between two feature points P1 and P2;
• ds12 represents a distance between the two feature points;
• dv12 represents a movement difference of the two feature points;
• and
• σdis and σv represent statistical variances of distance and movement, respectively.