Toward realization of “writing-life-log,” a camera-based handwriting pattern acquisition system is proposed. The camera is attached around the tip of a popular pen and captures frame images around the pen tip continuously. Our problem is the reconstruction of the entire handwriting pattern by video-mosaicing of those frame images with perspective registration of consecutive frames. A key idea i...

Tracking and traffic monitoring are main application of moving Object detection in video. This paper presents SURF (Speed-Up Robust Features) algorithm and real-time detection of objects using frame difference. The main purpose of this proposed work is to solve the difficulty of modeling background and its update rate in background subtraction method. SURF is having fast processing technique to...

This article reviews a method of histograms based on descriptors of SIFT and SURF and their application in Recognition of three-dimensional object recognition from various view. This method will be provided for Recognition of objects in a set of three-dimensional objects and images of ETH80 databases to assess the effectiveness of methods used in determining the threedimensional objects. Finall...

In this paper, we describe our approach and results for the semantics indexing (SIN) task and Multimedia event detection (MED) task at TRECVID2012. In our run of SIN task, we used three features, spatio-temporal (ST) features, SURF and color features. This year, we use all frame to extract features. This run used Multiple Kernel Learning as a fusion method to combine all these features in the s...

SURF is one of the most robust local invariant feature descriptors. SURF is implemented mainly for gray images. However, color presents important information in the object description and matching tasks as it clearly in the human vision system. Many objects can be unmatched if their color contents are ignored. To overcome this drawback this paper proposed a method CSURF (Color SURF) that combin...

In this paper, we describe our approach and results for the semantics indexing (SIN) task and Multimedia event detection (MED) task at TRECVID2011. In our runs of SIN task, we used six features, spatiotemporal (ST) features, SURF, color, face, sound features and word histogram. This year, we use multiple frames selected by calculating the color difference between frames, not all frame. All runs...

This paper presents SURF (Speed-Up Robust Features) algorithm and real-time tracking objects using optical flow algorithm. SURF is the fastest algorithm to find features of an object image in real-time and then by using this algorithm we will compare object image features with our real-time object image features. After that match object image features and real-time features. Next, we will apply...

Zhai and Shah (2006) proposed a model of spatiotemporal saliency using a combination of temporal and spatial attention models. The temporal model utilized Lowe’s SIFT (2004) to compute feature points and the correspondences between them in successive frames. Bay, Tuytelaars, & Van Gool introduced SURF (2006) as an alternative feature detector and descriptor. The authors of SURF show that it is ...

university examinations, etc. The registration of births is still extremely incomplete in India, even in municipal areas. In January 1939, Colonel R. S. Townsend, gave us a copy of a paper written by himself and Rai Bahadur Dr. Raghunandan Lall, m.bv b.s., on age determination of Indian girls in the United Provinces by .T-ray demonstration of epiphysial union. His paper was published in the Ind...