15. A system for identifying an object in a group of objects appearing in a plurality of cameras comprising: a first camera; a second camera; a memory; and a processing unit communicatively coupled to the first camera, the second camera, and the memory, the processing unit comprising a processor configured to: store in the memory a first set of trained classifiers and a second set of trained classifiers, wherein the 1 st set specifies values corresponding to a first plurality of attributes usable for identifying objects captured by the first camera, and the 2 nd set differs from the first set and specifies values corresponding to a second plurality of attributes usable for identifying objects captured by the 2 nd camera, wherein the first set of trained classifiers and second set of trained classifiers are trained independently, and wherein the first plurality of attributes and second plurality of attributes have at least one attribute in common; generate, using one or more images captured by the 1 st camera, a reference platoon of n objects, the reference platoon comprising a target object and (n−1) other objects; generate a reference group by running the first set of trained classifiers over the reference platoon, the reference group being indicative of values of attributes classified by the 1 st set of trained classifiers and characterizing the objects in the reference platoon; generate, using one or more images captured by the 2 nd camera, a plurality of candidate platoons, each candidate platoon comprising n objects, wherein the one or more images are captured by the 2 nd camera in a time window corresponding to the time of capturing by the 1 st camera the one or more images used for generating the reference platoon; generate a plurality of candidate groups, each candidate group obtained by running the 2 nd set of trained classifiers over a respective candidate platoon, each candidate group being indicative of values of attributes classified by the 2 nd set of trained classifiers and characterizing the objects in the corresponding candidate platoon; select a candidate platoon corresponding to a candidate group best matching the reference group; identify the target object in the selected candidate platoon in accordance with a position of the target object in the reference platoon.
15. A system for identifying an object in a group of objects appearing in a plurality of cameras comprising: a first camera; a second camera; a memory; and a processing unit communicatively coupled to the first camera, the second camera, and the memory, the processing unit comprising a processor configured to: store in the memory a first set of trained classifiers and a second set of trained classifiers, wherein the 1 st set specifies values corresponding to a first plurality of attributes usable for identifying objects captured by the first camera, and the 2 nd set differs from the first set and specifies values corresponding to a second plurality of attributes usable for identifying objects captured by the 2 nd camera, wherein the first set of trained classifiers and second set of trained classifiers are trained independently, and wherein the first plurality of attributes and second plurality of attributes have at least one attribute in common; generate, using one or more images captured by the 1 st camera, a reference platoon of n objects, the reference platoon comprising a target object and (n−1) other objects; generate a reference group by running the first set of trained classifiers over the reference platoon, the reference group being indicative of values of attributes classified by the 1 st set of trained classifiers and characterizing the objects in the reference platoon; generate, using one or more images captured by the 2 nd camera, a plurality of candidate platoons, each candidate platoon comprising n objects, wherein the one or more images are captured by the 2 nd camera in a time window corresponding to the time of capturing by the 1 st camera the one or more images used for generating the reference platoon; generate a plurality of candidate groups, each candidate group obtained by running the 2 nd set of trained classifiers over a respective candidate platoon, each candidate group being indicative of values of attributes classified by the 2 nd set of trained classifiers and characterizing the objects in the corresponding candidate platoon; select a candidate platoon corresponding to a candidate group best matching the reference group; identify the target object in the selected candidate platoon in accordance with a position of the target object in the reference platoon. 16. The system of claim 15 , wherein the reference group is a reference sequence, and wherein the candidate groups are candidate sequences.