Method and system for partial occlusion handling in vehicle tracking using deformable parts model

An image processing system comprising:

• a memory and a processor operatively associated with the memory configured to receive a digital image of a scene and execute instructions to perform a method of tracking a partially occluded object in a scene captured with an image capturing device, the method comprising:
• a) continuously monitoring an area of interest via an image capturing device;
• b) identifying candidate frames captured with the image capturing device, one or more of the candidate frames potentially including a vehicle within one or more defined ROIs (Region of Interest);
• c) detecting a non-occluded portion of the vehicle in one or more of the candidate frames using one or more classifiers trained using extracted features from non-occluded portions of a set of training samples;
• and
• d) tracking the non-occluded portion of the vehicle across a plurality of video frames.

A system for updating an event sequence, the system comprising an automatic sequencing device including a memory and a processor in communication with the processor configured to:

• acquire video data of a queue area from at least one image source, each image source associated with an image plane;
• receive a number of individual event requests from multiple subjects, each event request being received when a subject is located in one of multiple queues in the queue area;
• process the video data using an elastic deformation model to detect a subject located near at least one of a plurality of start points, each start point corresponding to a location associated with one of the multiple queues in the video data;
• track a movement of each detected subject through the queue area over a subsequent series of frames;
• determine if a location of a tracked subject reaches a predefined merge point on the image plane where the multiple queues in the queue area converge into a single queue lane;
• in response to the tracked subject reaching the predefined merge point, compute an observed sequence of where the tracked subject places relative to other subjects already past the merge point and approaching an end-event point in the single queue lane;
• and,
• update a sequence of the events to match the observed sequence of subjects in the single queue lane.