activity-detection

Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)

Code for our CVPR 2021 paper "Coarse-Fine Networks for Temporal Activity Detection in Videos"

[CVPR 2022] End-to-End Semi-Supervised Learning for Video Action Detection

[BMVC 2021]: Official PyTorch implementation of : "Few Shot Temporal Action Localization using Query Adaptive Transformers"

An example of how to adapt the C3D CNN for another problem. Really a fork of https://github.com/axon-research/c3d-keras

Acquire users location in android with ease, detect movement, geofence areas of interest, geocode users location

Simple stair (and movement) detection for Android

Activity Detection Using Unsupervised Learning Algorithms: DBSCAN, K-Means & Spectral Clustering to identify and label different activities in a dataset

Internship in Computer Vision Lab at University of Louisville

An advanced system integrating RFID, facial recognition, and AI-based activity detection to enhance campus safety

ML application on wearable devices to predict a person's activities.

This model detects workers' productivity states, using motion signals generated by the accelerometer embedded in the three mounted receiving beacons.

Activity and Sequence Detection Evaluation Metrics: A package to evaluate activity detection results, including the sequence of events given multiple activity types.

Generate complex event processing (Siddhi) activity detection apps based on IoT data and expert annotations.