地上デジタル放送が開始され10年以上が経過した．それ以降に開始されたFacebookやTwitterといったSNSサービスは短期間で利用者を増やしている．特にここ2～ 3年の間でSNSでの盛り上がりがテレビの視聴行動に影響する事例が多く見られるようになり，テレビ局もSNSを無視することができなくなってきた．日本テレビはこれまで取組んできた“双方向”と呼ばれる機能やサービスをソーシャルへ進化させる取組みとして，JoinTVをスタートさせた．多くの人が番組を見ながら交流して楽しめるJoinTVサービスを紹介する.

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We have developed a compact camera head for recording in Super Hi-Vision (SHV) that uses a 33-megapixel color image sensor. The size of the optical system was reduced by using single-chip color imaging without a color separation prism. The signal processing and transmission units were also reduced in size. The weight of the camera head is 4.3 kg, which is similar to that of current HDTV broadcast cameras. The camera head can be used with commercially available full-frame (36 mm × 24 mm) lenses. The resolution is over 3400 TV lines which is equivalent to or surpasses conventional SHV cameras with four 8-megapixel sensors. This compact SHV camera head enables a rich variety of shooting styles with its highly improved portability.

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In this paper, we propose a robust object tracking scheme for multi-view cameras and consecutive frames for rendering an immersive free-viewpoint video in a large outdoor space such as a soccer stadium. For a free-viewpoint video that provides users with an immersive experience, each object has to be identified consistently among all cameras for every frame to share the textures of the same objects and replace the textures when an occlusion occurs. To satisfy this requirement, the proposed method extracts objects' silhouette regions and tracks each identified object by associating a closed silhouette region with a tracking ID for every camera. During the frame by frame process, our method confirms whether occlusion occurs for each tracking region and modifies the texture region by projecting the world coordinate of the object in 3D-space, which can be estimated from a camera image without occlusion if one is available. The experimental results revealed that the proposed method achieved more robust texture extraction of multiple objects especially for occluded regions compared to the conventional methods. Furthermore, it was confirmed that the proposed scheme can improve the subjective image quality for free-viewpoint video as a result of precise reconstruction of occluded regions.

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