Learning Compact Appearance Representation for Video-based Person Re-Identification
نویسندگان
چکیده
This paper presents a novel approach for video-based person re-identification using multiple Convolutional Neural Networks (CNNs). Unlike previous work, we intend to extract a compact yet discriminative appearance representation from several frames rather than the whole sequence. Specifically, given a video, the representative frames are selected based on the walking profile of consecutive frames. A multiple CNN architecture incorporated with feature pooling is proposed to learn and compile the features of the selected representative frames into a compact description about the pedestrian for identification. Experiments are conducted on benchmark datasets to demonstrate the superiority of the proposed method over existing person re-identification approaches.
منابع مشابه
Video-based Person Re-identification with Accumulative Motion Context
Video based person re-identification plays a central role in realistic security and video surveillance. In this paper we propose a novel Accumulative Motion Context (AMOC) network for addressing this important problem, which effectively exploits the long-range motion context for robustly identifying the same person under challenging conditions. Given a video sequence of the same or different pe...
متن کاملVideo-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics
Video-based person re-identification (re-id) is an important application in practice. However, only a few methods have been presented for this problem. Since large variations exist between different pedestrian videos, as well as within each video, it’s challenging to conduct re-identification between pedestrian videos. In this paper, we propose a simultaneous intra-video and inter-video distanc...
متن کاملبازشناسی انسان در سیستمهای نظارت ویدئویی
People re-identification is one of the most important and fundamental processes in video surveillance systems. The accuracy and efficiency of this task influence the effectiveness of the subsequent processes. Event detection and behavior analysis are instances of such subsequent processes that are classified in semantic levels. In people re-identification, having an image or video of an individ...
متن کاملDissimilarity-based people re-identification and search for intelligent video surveillance
Intelligent video-surveillance is at present one of the most active research fields in computer science. It brings together a wide variety of computer vision and machine learning techniques to provide useful tools for surveillance operators and forensic video analytics. Person re-identification is among these tools; it consists of recognising whether an individual has already been observed over...
متن کاملA General Method for Appearance-Based People Search Based on Textual Queries
Person re-identification consists of recognising a person appearing in different video sequences, using an image as a query. We propose a general approach to extend appearance-based re-identification systems, enabling also textual queries describing clothing appearance (e.g., “person wearing a white shirt and checked blue shorts”). This functionality can be useful, e.g., in forensic video analy...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- CoRR
دوره abs/1702.06294 شماره
صفحات -
تاریخ انتشار 2017