A LVQ-Based Temporal Tracking for Semi-Automatic Video Object Segmentation  

Oleh:

Hariadi, Mochamad ; Purnomo, Mauridhi Hery

Jenis: Article from Journal - ilmiah nasional - terakreditasi DIKTI
Dalam koleksi: IPTEK: The Journal for Technology and Science vol. 18 no. 2 (May 2007), page 47-51.
Topik: LVQ; HSV; MPEG-4; Video Object; Segmentation

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: MM48.3 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

This paper presents a Learning Vector Quantization (LVQ)-based temporal tracking method for semiautomatic video object segmentation. A semantic video object is initialized using user assistance in a reference frame to give initial classification and use them for automatic segmentation of the video object on the following frames thus performing temporal tracking. For LVQ training input, we sampling each pixel of a video frame as a 5 dimensional vector combining 2 dimensional pixel position (X,Y) and 3 dimensional HSV color space. This paper also demonstrates experiments using some MPEG-4 standard test video sequences to evaluate the accuracy of the proposed method.

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