Object Highlighting

Players Highlighting and Team Classification in Soccer Video

This page contains my past work of player segmentation and tracking at Huawei Multimedia Research Lab, Bridgewater, NJ

Abstract:

A framework of player segmentation, tracking, highlighting and team classification in soccer game video is proposed. Main contributions consist of: 1) playfield modeling combining the Gaussian model with the dominant color extraction to segment the players/referees; 2) mean shift-based tracking with soft constraints from the foreground map to alleviate the shortcomings in handling the fast moving players; 3) discriminant similarity metric de-weighted by the surrounding background distribution applied for scale adaptation; 4) conservative update of the target model by aligning with its initial; 5) bi-histogram matching employed for team classification.

Diagram of Demo System for clickable video

Target Model Update Scheme

Figure 1: Object Highlighting.

Figure 2: Team Classification.