Methods and systems for detecting and tracking objects

A detecting and tracking device comprising:

• a memory;
• and
• a controller coupled to the memory adapted to:
• detect at least one object in a physical store on receiving media from a plurality of media acquisition devices positioned in the physical store, wherein each media acquisition device covers at least three points of a plurality of points defining an area of the physical store, and wherein adjacent media acquisition devices overlap each other by at least one point;
• and
• track the at least one object in the physical store by projecting input data points of each of the plurality of media acquisition devices onto a groundplot by applying a calibration process and a matrix multiplication process, and clustering the input data points into a single cluster, wherein clustering of the input data points comprises:
• generating a groundplot visualization by visualizing a continuous stream of output data points of each media acquisition device on the groundplot, wherein the groundplot visualization indicates data points of the at least one object on the groundplot that are strongly connected with each other;
• forming a cluster for each object by grouping the respective data points of each object that are strongly connected with each other using a k-means clustering method;
• identifying a centroid of the cluster of each object;
• and
• assigning a tracking identifier (ID) for the centroid of the cluster of each object for tracking each object in the physical store, wherein the centroid of the cluster corresponds to the associated object.

A tracking system comprising:

• a plurality of media acquisition devices, each media acquisition device covering at least three points of a plurality of points defining an area of a physical store, with adjacent media acquisition devices overlapping each other by at least one point, wherein each media acquisition device is adapted to:
• capture media of at least one point of the physical store, wherein the at least one point includes at least one object;
• and
• a detection and tracking device coupled to the plurality of media acquisition devices adapted to:
• detect the at least one object in the physical store on receiving media from the plurality of media acquisition devices;
• and
• track the at least one object in the physical store by projecting input data points of each of the plurality of media acquisition devices onto a groundplot by applying a calibration process and a matrix multiplication process, and clustering the input data points into a single cluster, wherein clustering of the input data points comprises:
• generating a groundplot visualization by visualizing a continuous stream of output data points of each media acquisition device on the groundplot, wherein the groundplot visualization indicates data points of the at least one object on the groundplot that are strongly connected;
• forming a cluster for each object by grouping the data points of the object that are strongly connected with each other using a k-means clustering method;
• identifying a centroid of the cluster for each object;
• and
• assigning a tracking identifier (ID) for the centroid of the cluster of each object for tracking each object in the physical store, wherein the centroid of the cluster corresponds to the associated object.