Abstract: The invention relates to a method for automatic detection and tracking of one or multiple objects of interest in a video sequence comprising several successive frames (1) captured with a moving camera, comprising:—segmenting (32) each frame into regions depending on color and producing a segmented image (1?);—deducing (34) from each segmented image (1?) a region adjacency graph (11) comprising nodes and edges, wherein each node defines a region and each edge links two nodes of adjacent regions; wherein the region adjacency graphs (11) form a set of region adjacency graphs;—extracting (36) from the set of region adjacency graphs frequent spatio-temporal patterns (13);—determining (38) degrees of dissimilarity between the trajectories of the extracted frequent spatio-temporal patterns (13) between successive frames (1); and—clustering (39) the frequent spatio-temporal patterns (13) to produce at least one cluster (25, 26, 27) corresponding to one object of interest among said one or multiple objects of interest

Abstract: Process for generating a video tag cloud representing objects appearing in a video content, said process providing: a step (B) for extracting video frames of said video content and individually segmenting said video frames into regions; a step (C) for building, for each extracted frame, a topology graph for modelizing the space relationships between the segmented regions of said frame; a step (D) for extracting from the set of built topology graphs frequent patterns according to spatial and temporal constraints, each pattern comprising at least one segmented region; a step (E) for regrouping frequent patterns representing parts of a same object by using trajectories constraints, so as to detect frequent objects of said video content; a step (F) for determining, for each detected frequent object, a weighting factor to apply to said object according at least to spatial and temporal constraints used for extracting the patterns of said object and to trajectories constraints used to regroup said patterns; a step (

Abstract: The invention relates to a method for automatic detection and tracking of one or multiple objects of interest in a video sequence comprising several successive frames (1) captured with a moving camera, comprising:—segmenting (32) each frame into regions depending on colour and producing a segmented image (1?);—deducing (34) from each segmented image (1?) a region adjacency graph (11) comprising nodes and edges, wherein each node defines a region and each edge links two nodes of adjacent regions; wherein the region adjacency graphs (11) form a set of region adjacency graphs;—extracting (36) from the set of region adjacency graphs frequent spatio-temporal patterns (13);—determining (38) degrees of dissimilarity between the trajectories of the extracted frequent spatio-temporal patterns (13) between successive frames (1); and—clustering (39) the frequent spatio-temporal patterns (13) to produce at least one cluster (25, 26, 27) corresponding to one object of interest among said one or multiple objects of interes