Localization is an integral part of reliable robot navigation, and long-term autonomy requires
robustness against perceptional changes in the environment during localization. In the …

Visual surveillance systems have recently captured the attention of the research community.
Most of the proposed surveillance systems deal with stationary cameras. Nevertheless …

Aligning video is a fundamental task in computer graphics and vision, required for a wide
range of applications. We present an interactive method for computing optimal nonlinear …

This paper addresses the problem of video alignment. We present efficient approaches that
allow for spatiotemporal alignment of two sequences. Unlike most related works, we …

This paper presents a family of algorithms based on sparse decompositions that detect
anomalies in video sequences obtained from slow moving cameras. These algorithms start …

Video alignment is important in different areas of computer vision such as wide baseline
matching, action recognition, change detection, video copy detection and frame drop** …

We propose a new task of unsupervised action detection by action matching. Given two long
videos, the objective is to temporally detect all pairs of matching video segments. A pair of …

This paper proposes a wearable RGB camera-based system for sightless people through
which they can easily and independently navigate their surrounding environment. The …

This paper addresses the problem of aligning two unsynchronized video sequences. We
present a novel approach that allows for temporal and spatial alignment of similar videos …

In this paper, an inter-video map** approach is proposed to integrate video footages from
two dashcams installed on a preceding and its following vehicle to provide the illusion that …