@inproceedings{CI-avss14_vrs2,


title = {A Reliable String Kernel based Approach for Solving Queries by Sketch},
author = {L. Brun and A. Saggese and M. Vento},
editor = {IEEE},
isbn = {978-1-4799-4871-0/14},
year = {2014},
date = {2014-08-29},
booktitle = {IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2014)},
address={Seoul, Korea},
keywords = {Video analysis and interpretation},
theme="pattern",
url = {ResearchGate:=https://www.researchgate.net/publication/265167481_A_Reliable_String_Kernel_based_Approach_for_Solving_Queries_by_Sketch#fullTextFileContent},
abstract ={In this paper we propose a novel and efficient method for solving queries by sketch in traffic scenarios, aiming to find the k nearest neighbor trajectories to the one hand drawn by the human operator. Each trajectory is represented as a sequence of symbols, namely a string, and it is stored into a k-d tree by taking into account the similarity between trajectories, evaluated by a global fast alignment kernel. The experimentation has been conducted over the standard MIT trajectories dataset and results confirm the effective- ness and the robustness of the proposed approach}

 }