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Human Activity Recognition

10 papers with code · Computer Vision

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Object Level Visual Reasoning in Videos

ECCV 2018 fabienbaradel/object_level_visual_reasoning

Human activity recognition is typically addressed by detecting key concepts like global and local motion, features related to object classes present in the scene, as well as features related to the global context.

HUMAN ACTIVITY RECOGNITION OBJECT DETECTION VISUAL REASONING

Kernel Cross-Correlator

12 Sep 2017wang-chen/KCC

Cross-correlator plays a significant role in many visual perception tasks, such as object detection and tracking.

HUMAN ACTIVITY RECOGNITION OBJECT DETECTION VISUAL TRACKING

Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points

CVPR 2018 fabienbaradel/glimpse_clouds

No spatial coherence is forced on the glimpse locations, which gives the module liberty to explore different points at each frame and better optimize the process of scrutinizing visual information.

ACTIVITY PREDICTION HUMAN ACTIVITY RECOGNITION ZERO-SHOT ACTION RECOGNITION

Untrimmed Video Classification for Activity Detection: submission to ActivityNet Challenge

7 Jul 2016gurkirt/actNet-inAct

We propose a simple, yet effective, method for the temporal detection of activities in temporally untrimmed videos with the help of untrimmed classification.

ACTION DETECTION HUMAN ACTIVITY RECOGNITION VIDEO CLASSIFICATION

Adversarial Attacks on Deep Neural Networks for Time Series Classification

17 Mar 2019hfawaz/ijcnn19attacks

Time Series Classification (TSC) problems are encountered in many real life data mining tasks ranging from medicine and security to human activity recognition and food safety.

ADVERSARIAL ATTACK HUMAN ACTIVITY RECOGNITION TIME SERIES TIME SERIES CLASSIFICATION

Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art

13 Jun 2018arturjordao/WearableSensorData

Inspired by this, we conduct an extensive set of experiments that analyze different sample generation processes and validation protocols to indicate the vulnerable points in human activity recognition based on wearable sensor data.

HUMAN ACTIVITY RECOGNITION IMAGE CLASSIFICATION OBJECT DETECTION

PI-Net: A Deep Learning Approach to Extract Topological Persistence Images

5 Jun 2019anirudhsom/PI-Net

To the best of our knowledge, we are the first to propose the use of deep learning for computing topological features directly from data.

HUMAN ACTIVITY RECOGNITION IMAGE CLASSIFICATION TIME SERIES

Subject Cross Validation in Human Activity Recognition

4 Apr 2019big-data-lab-team/paper-generalizability-window-size

We conclude that Human Activity Recognition systems should be evaluated by Subject Cross Validation, and that overlapping windows are not worth their extra computational cost.

HUMAN ACTIVITY RECOGNITION

Dynamic Vision Sensors for Human Activity Recognition

13 Mar 2018Computational-Imaging-Lab-IITM/HAR-DVS

We propose to use the various slices (such as $x-y$, $x-t$, and $y-t$) of the DVS video as a feature map for HAR and denote them as Motion Maps.

HUMAN ACTIVITY RECOGNITION

An Interactive Greedy Approach to Group Sparsity in High Dimensions

10 Jul 2017weiqian1/IGA

Sparsity learning with known grouping structure has received considerable attention due to wide modern applications in high-dimensional data analysis.

HUMAN ACTIVITY RECOGNITION